STABILITY ANALYSIS OF DAMPED SDOF SYSTEMS WITH TWO TIME DELAYS IN STATE FEEDBACK

Size: px
Start display at page:

Download "STABILITY ANALYSIS OF DAMPED SDOF SYSTEMS WITH TWO TIME DELAYS IN STATE FEEDBACK"

Transcription

1 Journal of Sound and Vibration (1998) 214(2), Article No. sv STABILITY ANALYSIS OF DAMPED SDOF SYSTEMS WITH TWO TIME DELAYS IN STATE FEEDBACK H. Y. HU ANDZ. H. WANG Institute of Vibration Engineering Research, Nanjing University of Aeronautics and Astronautics, 2116, Nanjing, People s Republic of China (Received 6 November 1996, and in final form 17 December 1997) This paper presents the stability analysis of linear, damped SDOF vibration control systems with two time delays, one in the displacement feedback and the other in the velocity feedback. First, a sufficient and necessary algebraic criterion is proved to check the system stability independent of time delays. According to this criterion, all possible combinations of the feedback gains that guarantee the delay-independent stability are given. Then, the effect of the feedback gains on the system stability is discussed when the time delays are finite. The most dangerous case is found when the time delay in the displacement feedback is much longer than that in the velocity feedback Academic Press 1. INTRODUCTION The active control for attenuating the excessive vibration of mechanical systems has become more and more popular in engineering. One of the limits to the performance and application of this technique is the unavoidable time delays in controllers and actuators, particularly in hydraulic actuators for active suspensions of vehicles, active tendons of tall buildings, etc. These time delays, albeit very short, deteriorate the control performance or even cause the instability of the system, because the actuators may input energy at the exact moment when the controlled system does not need it. Consider a SDOF system with delayed state feedback, the motion of which yields the following dimensionless difference-differential equation x (t)+2x (t)+x(t)=f(t)+ x(t 1 )+ ẋ(t 2 ), (1) where is the damping ratio as usual, f(t) is the excitation, and are the feedback gains, 1 and 2 are the time delays in the paths of displacement feedback and velocity feedback, respectively. This system serves as a simple, but widely used model for active suspensions and active tendons in vibration control [1, 2]. To check the asymptotic stability of the steady state motion x(t), it is usual to study the variational equation of equation (1) which governs the small variation x(t) near x(t) x (t)+2x (t)+x(t)= x(t 1 )+ x (t 2 ). (2) Substituting the candidate solution x(t)=a e t into equation (2) yields a characteristic equation D(, 1, 2 ) exp ( 1 ) exp ( 2 )=. (3) 22 46X/98/ $3./ 1998 Academic Press

2 214 H. Y. HU AND Z. H. WANG Given the time delays 1 and 2, the steady state motion of system (1) is asymptotically stable if and only if all the roots of equation (3) have negative real parts. When system (1) is asymptotically stable for arbitrary time delays, it is said to be delay-independent stable. If there is no time delay in the state feedback, i.e., 1 = 2 =, equation (3) becomes a quadratic equation in D(,,)= 2 +(2 ) +(1 )=. (4) One can readily write out the stability condition 1, 2. (5) Except for this trivial case, equation (3) is transcendental. It is impossible to check the system stability by solving equation (3) for the infinite number of roots. Thus, it is not an easy task to give simple stability criteria for the retarded differential equation (1). In general, the criteria of delay-independent stability are simpler than those of delay-dependent stability. Hence, they have received much attention over the past decades [3, 4]. As the simplest case, the systems with single time delay have been intensively studied and the delay-independent stability criteria in terms of pure mathematical parameters have been given in [3, 5]. Yet, fewer successful studies have been made for the systems with multiple time delays and no practical stability criterion has been available. For instance, the sufficient condition given in [6] requires very tedious exponential matrix computation. The concise criteria proposed in [7] are not applicable to vibrating systems. In practice, the stability independent of time delays may be excessively restrictive. As a matter of fact, most controlled systems are stable only for bounded time delays. Hsu [8] first suggested several numerical methods to study the relationship of a single time delay and a system parameter when the system undergoes instability. Stepan [9] proposed a set of stability criteria for undamped systems. Chen [1] gave a number of algorithms to compute the maximal delay interval, wherein a controlled system is stable. However, if the system is damped or both delayed displacement and delayed velocity are taken as feedback, no simple criterion has been available for stability test. A practical problem in controller design is how to select appropriate feedback gains and such that the controlled system is stable if there exist time delays in the controller and actuators. Sometimes, the feedback gains and may have already been designed according to a control strategy, say, LQG, but the time delays in controller and the actuators were not taken into account in the previous design. One may want to know whether the controlled system is stable and robust with respect to the variation of the feedback gains. However, the publications mentioned above dealt with the stability criteria in terms of pure mathematical parameters, rather than the feedback gains. The aim of this paper is to find practical criteria of delay-independent stability for a damped vibrating system (1) with two time delays in state feedback. In section 2, a sufficient and necesssary algebraic condition of delay-independent stability is derived. Then, an equivalent condition in terms of feedback gains and is discussed in section 3 and the region of delay-independent stability in the plane of (, ) is given. In section 4, the stability of the systems with two finite time delays is analyzed. Finally, some concluding remarks are made in section 5.

3 STABILITY OF SYSTEMS WITH TWO DELAYS STABILITY CRITERION INDEPENDENT OF DELAYS The stability of system (1) is independent of time delays if equation (3) has no root with non-negative real part and D(i, 1, 2 ) = has no real root for any given 1 and 2. It is obvious that the critical condition D(i, 1, 2 ) = results in namely i = exp (i 2 i 1 )+i, (6) (1 2 ) 2 +(2) 2 = 1 +( ) 2 +2 sin ( 2 1 ). (7) Conversely, if, 1 and 2 satisfy equation (7), thre exists a non-negative number R such that and or and i = exp ( i)[ exp (i( 2 1 ))+i ], i = exp ( i){ +i exp [i( 1 2 )]}. This leads to D(i, 2 + 1, )= or D(i,, ) =. Thus, for given time delays 1 and 2, D(i, 1, 2 ) = has no real root if and only if equation (7) has no real root. Moreover, equation (7) can be rewritten as (8a) (8b) 4 +( ) =2 sin ( 2 1 ). (9) As both sides of equation (9) are even functions in variable, it is sufficient hereafter to study the case of only EQUAL TIME DELAYS When 1 = 2 =, equation (9) becomes where Equation (1) has four roots in the form 4 + p 2 + q =, (1) p , q 1 1. (11) 1,2 = 1 2( p p 2 4q), 3,4 = 1 2( p p 2 4q). (12) q = p 2 /4 q a c b o p d d Figure 1. Region of delay-independent stability in the (p, q) plane when 1 = 2.

4 216 H. Y. HU AND Z. H. WANG The number of real roots depends on the combination of p and q as follows. (a) p 2 4q: none of the roots is real; (b) p 2 4q, p, q : none of the roots is real; (c) p 2 4q, p, q : all of the roots are real; (d) p 2 4q, q : two roots 2 and 4 are real. These cases are shown in the (p, q) plane in Figure 1, where the shaded region represents the parameter combinations that guarantee the system stability independent of time delays. From Figure 1, the conditions (a) and (b) can be expressed in a simpler form p, q, or p, p 2 4q. (13) 2.2. UNEQUAL TIME DELAYS In the case of 1 2, one defines three functions where g() 4 + p 2 + q r sin ( 2 1 ), g () 4 + p 2 + q + r, g () 4 + p 2 + q r, (14) It is easy to prove that for all and r =2, r = r. (15) g () g() g (), (16) g () = g() = g () = q. (17) As 1 and 2 take arbitrary non-negative values, one can choose suitable 1 and 2 such that g()=g () org()=g () for any given. Thus, g() has no root in (, +) if g () for all org () for all. However, the second case is obviously impossible. Now, one focuses on the condition of g () for all. Consider the derivative of g () with respect to By letting g '()=4 3 +2p + r. (18) =(p/6) 3 +(r/8) 2, (19) one has three cases according to the solution of a cubic algebraic equation [11]. (a) If, g '() = has one real root and a pair of conjugate complex roots where 1 = u + v, 2 = u 1 + v 2, 3 = u 2 + v 1. (2) u = 3 r/8 +, v = 3 r/8, 1 = (b) If =, g '() = has three real roots 1 + i3 1 i3, 2 2 =. 2 (21) 1 =2 3 r/8, 2 = 3 = 3 r/8. (22)

5 (c) If, g'() = has three real roots STABILITY OF SYSTEMS WITH TWO DELAYS =2 p 6 cos 3, 2 =2 p 6 cos , 3 =2 p 6 cos , (23) where cos =6r/8p p/6,. (24) Noting r, one can find that only the root 1 in these cases is positive so that g'()=,, for (, 1 ) for ( 1,+). (25) This implies that g( 1 ) is the minimum of g() in [, +]. Hence, g() holds for all provided that g( 1 ). If this is the case, g() holds for all, 1, 2. In summary, the delay-independent stability criterion can be stated as follows. Criterion 1 The system (1) is delay-independent stable for any time delays if and only if either p, q, g ( 1 ) or p, p 2 4q, g ( 1 ) (26) holds, where 3 r/8 + + r/8 3, 1 = 2 (p/6) cos /3, for. (27) for For a given system, the stability test based on this criterion is an easy task including very simple algebraic computation. Table 1 shows 4 numerical examples. TABLE 1 Delay-independent stability of four illustrative examples Examples System parameters Stability tests Conclusions 2.1 = 1 p = 1 963, q = 99 Delay-independent = 1, = 5 p 2 4q = 186, stable g( 1) = = 1 p = 1 963, q = 91 Not = 3, = 5 p 2 4q = 2114, delay-independent g( 1) = 824 stable 2.3 = 5 p = 1 25, q = 75 Delay-independent = 5, = 5 p 2 4q = 1 436, stable g ( 1) = = 5 p = 1 9, q = 64 Delay-independent = 6, = 3 p 2 4q = 1 372, stable g ( 1) = 1345

6 218 H. Y. HU AND Z. H. WANG 3. DELAY-INDEPENDENT STABILITY CRITERION IN TERMS OF FEEDBACK GAINS In this section, all possible combinations of feedback gains that guarantee the delay-independent stability of system (1) are determined. Let D denote the region of those combinations in the (, ) plane, and D denote the region where the system with two equal time delays is delay-independent stable. For simplicity, these regions are referred to as the regions of delay-independent stability. It is obvious that (, )DD if EQUAL TIME DELAYS By substituting equation (12) into equation (13), one has or namely, or p = , q =1 1, (28a) p = , p 2 4q =( ) 2 4(1 1) ; (28b) 1 1, , (29a) , 4 1 +( ) 2 4. (29b) The second inequality in equation (29a) and the first inequality in equation (29b) are a pair of contradictory bounds for 2, holding for different damping. To gain insight in the second inequality in equation (29b), one can find all intersections of the curve with the axes of and. They are P(, ) 4 1 +( ) 2 4= (3) =, = 2, 2 2 1; =, = (31a, 31b) From equation (31a), it is easy to see that this curve, like an ellipse, has a pair of intersections on the and axes, if and only if the system is underdamped in the usual sense. Once the system is overdamped, the curve has no intersection on the -axis, but four intersections on the -axis. In fact, two separated ellipses appear in this case. By imposing P(, )/ =4 ( ) =, (32) 2ζ 1 2ζ 1 2ζ 1 ζ 2 < ζ < 1/ 2 2ζ 1 1 4ζ 2 2 2ζ 1 2ζ 2ζ 1/ 2 < ζ < 1 ζ > 1 Figure 2. Regions of delay-independent stability in the (, ) plane for different damping ratios when 1 = 2. (a) = 5; (b) = 1 ; (c) =

7 STABILITY OF SYSTEMS WITH TWO DELAYS 219 one obtains the extrema of on these two ellipses = 1. (33) On the basis of the above analysis, one can determine the criterion for delay-independent stability as the following and then plot the corresponding region of delay-independent stability as shown in Figure 2. (a) If 1/2, D is surrounded by an ellipse, i.e., 4 1 +( ) 2 4. (34) (b)if1/2 1, the boundary of D consists of two arcs of an ellipse and two sides of a rectangular, i.e., 1 1, , 4 1 +( ) 2 4, (35) (c) If 1, the boundary of D is composed of two sides of a rectangular and two arcs from two ellipses governed by equation (35), too. No matter what case happens, D is bounded in the rectangle {(, ) 1, 2}. So, it is the damping that makes the delay-independent stability possible UNEQUAL TIME DELAYS If 1 2, the boundary of D yields g ( 1 ) =. However, it is almost impossible to solve g ( 1 ) = for the explicit expression of the boundary. Thus, a qualitative analysis of region D will be made. Since p, q, r, p 2 4q, and g ( 1 ) are even functions in the variables and, the region D should be symmetric with respect to both and axes. In what follows, the study is confined to the first quadrant of (, ) plane. For and, one can readily verify that p/ =, q/ = 2, (/ )(4q p 2 )= 8, p/ = 2, q/ =, (/ )(4q p 2 )=4p, (p ) (36) g ( 1 )=g '( 1 ) 1 p q r + 1 s 1 = 2(s 1 s ), 1 g ( 1 )=g '( 1 ) 1 p q r + 2 s 1 = 2 2 s 1 ( + 1 ). (37) 2 These inequalities imply that if a given system with, and is delay-independent stable, so is the system with, and or with,,and. Example 3.1. As known from example 2.1, the system with = 1, = 1 and = 5 is delay-independent stable. According to the analysis above, the system with = 1, = 5 and 1, or with = 1, = 1 and 5 is delay-independent stable, too. Moreover, equation (37) leads to d /d g ( 1 )== (/ )g ( 1 )/(/ )g ( 1 )= 1/ 1. (38) Hence, the boundary defined by g ( 1 ) = in the first quadrant of (, ) plane is a simple curve. Along the boundary, decreases with the increase of. According to the above analysis of D, one obtains another stability criterion independent of time delays.

8 22 H. Y. HU AND Z. H. WANG 1. (a) 2. (b) (c) Figure 3. Regions of delay-independent stability in the first quadrant of the (, ) plane for different damping ratios when 1 =/ 2. Criterion 2 Let U = {(, ) a 1, a 2 }. It is sufficient to check (a 1, a 2 )D in order to make sure UD. Example 3.2. Consider a system with = 5. From Criterion 2 and Example 2.4, it is obvious that [ 6, 6] [ 3, 3]D. This rectangular can be broadened in D by further numerical tries. For instance, one can first fix = 6 and choose a larger, say = 5. A direct computation gives p = 1 25, q = 64, p 2 4q = 9975 and g ( 1 ) = 629. This means that the system is not delay-independent stable and such a is too large. Thus, one can choose a less larger, say = 4 as the second try. In this case, p = 1 16, q = 64, p 2 4q = 1 214, g ( 1 ) = 421. Hence, a larger rectangular [ 6, 6] [ 4, 4]D is obtained. For a given system, the region of delay-independent stability can be determined by a simple and short subroutine. The typical regions of delay-independent stability for underdamped, critically damped and over-damped systems are shown in Figure 3, where the grey regions and the dark regions correspond to the cases of equal time delays and unequal time delays respectively.

9 STABILITY OF SYSTEMS WITH TWO DELAYS STABILITY FOR FINITE TIME DELAYS As analyzed in section 3, the region of delay-independent stability is always bounded in the rectangular {(, ) 1, 2}. Since most mechanical systems are lightly damped, it is too restrictive for them to be delay-independent stable. In practice, the stability of many controlled systems is only required for bounded time delays, especially for short time delays in a bounded interval. Now, the system stability when two finite time delays are given is studied. By separating the real part and imaginary part of the critical condition D(i, 1, 2 )=, one has Re [D(i, 1, 2 )] 1 2 cos 1 sin 2 =, Im [D(i, 1, 2 )] 2 + sin 1 cos 2 =. (39) Solving equation (39) for and yields = (1 2 )cos 2 2 sin 2 cos [( 1 2 )], = (1 2 ) sin 1 +2 cos 1. (4) cos [( 1 2 )] In the plane of (, ), equation (4) gives the transition set where at least one characteristic root of equation (3) changes the sign of the real part. As both and are even functions in frequency, the transition set will be discussed in the semi-infinite interval [, +) EQUAL TIME DELAYS If 1 = 2 =, equation (4) becomes = [(1 2 )cos 2 sin ], = [(1 2 ) sin +2 cos ]/. (41) Thus, the transition set is a continuous curve C in the plane of (, ) when the parameter varies in [, +). It is easy to find from equation (41) that the curve C starts from the point A = (1, 2 + ) in the plane of (, ). As shown in Figure 4, the curve C becomes complicated and intersects itself if the time delay is long enough. 8 4 (a) A 4 (b) A (c) A 6 (d) A Figure 4. Transition sets in the (, ) plane for various equal delays ( = 5). values: (a) 1 5; (b) 2 ; (c) 4 ; (d) 6.

10 H. Y. HU AND Z. H. WANG τ m ζ Figure 5. Critical time delay versus damping ratio. From the viewpoint of an engineer, one may want to know the critical time delay m, with which the curve C just intersects itself at (1, 2,+) in(, ) plane. According to equation (41), such a time delay yields (1 2 )cos m 2 sin m =1, (1 2 ) sin m +2 cos m =(2 + m ). This condition can be written as (42) tan ( m + )=(2 + m ), = tan 1 (2/(1 2 )). (43) In addition, the self-intersection of curve C at (1, 2 + ) implies that equation (1) has two different positive roots when = 1 and =2 + m. From equations (11) and (12), these two roots are 1 =, 2 = p = 2 m +4 m + 2. (44) Substituting in equation (43) with 2 yields tan ( m 2 m +4 m +2+)=(2 + m ) 2 m +4 m +2, = tan m +4 m +2 1 ( 2 m +4 m +2). (45) 2ζ 2ζ + δ 2ζ + τ D δ 1 1 C τ C δ Figure 6. Stability region D 1 in the (, ) plane for equal time delays = 2 =.

11 STABILITY OF SYSTEMS WITH TWO DELAYS 223 C δ D δ 2 C τ C δ 2ζ 2ζ + δ 1 2ζ + τ C τ D δ k s C 1 δ Figure 7. Transition sets C and C in the (, ) plane for equal time delays. C τ C δ Solving equation (45) numerically for the minimal positive root, one obtains the critical time delay for given damping ratio. As shown in Figure 5, the critical time delay decreases with increase of the damping ratio. Given a time delay m, the transition set C shown in Figure 6 does not intersect itself. This curve, together with the lines of = 1 and =2, surrounds a shaded region denoted by D 1 in Figure 6. According to (, )D 1, all combinations of (, )D 1 guarantee the system stability for equal time delays 1 = 2 =. This region will be called the stability region hereafter for short. It should be emphasized that D 1 in Figure 6 is the unique stability region where the feedback gains guarantee the system stability for any equal time delays 1 = 2 =. What follows is an intuitive proof of this assertion. By differentiating equation (41) with respect to, one obtains the tangent of C at the starting location d = d = ((1 2 )/) cos +(( 2 1)/ 2 2 2) sin 2(1 + ) cos +( 2 2) sin = + O(). (46) If, the curves C and C intersect each other near (, c) as shown in Figure 6. According to the analysis in section 2, only the parameter combination (, ) under the condition p 2 4q, p, q enables equation (1) to have two positive roots. The third inequality here implies that C and C intersect each other only in the region of 1. Thus, C cannot enter into the stability region D 1 if 1. As a result, the combination of feedback gains (, )D 1 ensures that the system is stable for any equal time delays 1 = 2 =. Then, it is easy to see that the system is not stable for any if the combination of feedback gains (, ) falls into other shaded regions, say D 2 in Figure 7, where the roots of equation (3) seem to have the negative real parts again with variation of (, ). In fact, even for a very short time delay, the corresponding spiral C will enter D 2 as long as the frequency is high enough. This implies that the system will undergo an instability if the disturbance x(t) involves any harmonic components of sufficiently high frequency. As a result, the assertion made by Palkovics and Venhovens in [1] that there exist other possible stability regions in (, ) plane is not true.

12 224 H. Y. HU AND Z. H. WANG (a) (b) c c k k (c) (d) c c k k Figure 8. Transition sets and stability regions in the (, ) plane for unequal time delays. (a) 1 2 and small ; (b) 1 2 and large ; (c) 1 2 and small ; (d) 1 2 and large UNEQUAL TIME DELAYS In the case of 1 2, let = 1 2. It is obvious that both and in equation (4) will approach infinity when n/2, n =1,3,5,...Thus, the transition set given by equation (4) in this case is no longer a continuous curve. It consists of an infinite number of curves defined by the parametric equation of in the intervals [, /2), (/2, 3/2), etc. As analyzed in the previous subsection, the boundary of the stability region is a small part of the transition set corresponding to the lower frequency. So, one focuses on the transition set in the frequency range [, /2). Consider the case of 1 2 first. The transition set is a curve starting from (1, )in(, ) plane and approaching infinity when ( 2 1 )/2. It is easy to find that the tangent of the asymptotic line reads (1 2 ) sin 1 +2 cos 1 [(1 2 )cos( 1 + /2) 2 sin ( 1 + /2)] = 1/ = /2( 1 2 ). Obviously, if is small, the curve will spiral one or more rounds and go to infinity in the second quadrant or the fourth quadrant. Otherwise, it goes to infinity in the fourth quadrant. These two cases are shown in Figures 8a and 8b respectively. If 2 1, one can similarly find the tangent of the asymptotic line (1 2 ) sin ( 2 + /2) + 2 cos ( 2 + /2) = 1/ = /2( [(1 2 )cos 2 2 sin 2 ] 1 2 ) when ( 1 2 )/2. The transition set will approach infinity in the first quadrant or the third quadrant if is small. Otherwise, it goes to infinity in the third quadrant. These two cases are shown in Figures 8c and 8d respectively. Noting the stability conditions (5) for a system without time delays in feedback, one can determine the stability region shown as the shaded one in Figure 8. Figure 8d shows that the stability region shrinks to a very small size if 2 1. This is the most dangerous case and should be avoided in practice. (47) (48)

13 STABILITY OF SYSTEMS WITH TWO DELAYS CONCLUSIONS (a) It is found in this paper that there exists a sufficient and necessary algebraic criterion of the delay-independent stability for linear, SDOF vibrating systems with two arbitrary time delays in displacement feedback and velocity feedback respectively. With the help of this criterion, it is quite straightforward to check the stability of a given system. (b) The feedback gains and, with which the system is delay-independent stable, form a region D in the plane of (, ). The region D is bounded in the rectangular {(, ) 1, 2} and is symmetric with respect to both the - and -axes. When the two time delays are identical, the boundary of the region can be determined analytically. Otherwise, it is a simple curve without explicit expression. An arbitrary point (a 1, a 2 ) in region D can ensure that the rectangle U = {(, ) a 1, a 2 } falls into D. This property enables one to compute region D very efficiently. (c) Given short time delays 1 and 2, the feedback gains and that guarantee the system stability fall into a simple region D in the plane of (, ). In most cases, the boundary of region D consists of a spiral and two straight segments defined by = 1 and =2 respectively. However, if 2 1, the boundary becomes complicated and the region shrinks to a very small size. ACKNOWLEDGMENTS This work was supported in part by the National Natural Science Foundation of China under the Grant of The first author wishes to thank Professors E. H. Dowell and L. N. Virgin for hosting his visit to the Department of Mechanical Engineering and Material Sciences, Duke University, USA and for their helpful comments on the manuscript. REFERENCES 1. L. PALKOVICS andp. J. TH. VENHOVENS 1992 Vehicle System Dynamic1, Investigation on stability and possible chaotic motions in the controlled wheel suspension system. 2. L. ZHANG 1993 Journal of Engineering Mechanic19, Stability of active-tendon structural control with time delay. 3. Y. X. QIN 1989 Stability of Dynamic Systems with Delays. Beijing: The Science Press. 4. K. GOPALSAMY 1992 Stability and Oscillations in Delay Differential Equations of Population Dynamics. Dordrecht: Kluwer Academic Publishers. 5. T. MORI and H. KOKAME 1989 IEEE Transactions on Automatic Control 34, Stability of x (t)=ax(t)+bx(t ). 6. L. WANG and M. Q. WANG 1993, In Dynamic Systems (S. T. Liao et al., editors). Singapore: World Scientific On Lyapunov functionals in stability theory of systems with time lag. 7. R. J. WANG and W. J. WANG 1996 IEEE Transactions on Circuits and Systems I, 43, stability analysis of perturbed systems with multiple non-commensurate time delays. 8. C. S. HSU 197 Journal of Applied Mechanics 37, Application of the -decomposition method to dynamical systems subject to the retarded follower forces. 9. G. STEPAN 1989 Retarded Dynamical Systems: Stability and Characteristic Functions. England: Longman Scientific and Technical. 1. J. CHEN 1995 IEEE Transactions on Automatic Control 4, On computing the maximal delay intervals for stability of linear delay systems. 11. H. Z. WANG 1985 Handbook of Modern Mathematics for Engineers, 1, Wuhan: Press of Huazhong University of Science and Technology.

Research Article Convex Polyhedron Method to Stability of Continuous Systems with Two Additive Time-Varying Delay Components

Research Article Convex Polyhedron Method to Stability of Continuous Systems with Two Additive Time-Varying Delay Components Applied Mathematics Volume 202, Article ID 689820, 3 pages doi:0.55/202/689820 Research Article Convex Polyhedron Method to Stability of Continuous Systems with Two Additive Time-Varying Delay Components

More information

The Phasor Analysis Method For Harmonically Forced Linear Systems

The Phasor Analysis Method For Harmonically Forced Linear Systems The Phasor Analysis Method For Harmonically Forced Linear Systems Daniel S. Stutts, Ph.D. April 4, 1999 Revised: 10-15-010, 9-1-011 1 Introduction One of the most common tasks in vibration analysis is

More information

CHATTERING-FREE SMC WITH UNIDIRECTIONAL AUXILIARY SURFACES FOR NONLINEAR SYSTEM WITH STATE CONSTRAINTS. Jian Fu, Qing-Xian Wu and Ze-Hui Mao

CHATTERING-FREE SMC WITH UNIDIRECTIONAL AUXILIARY SURFACES FOR NONLINEAR SYSTEM WITH STATE CONSTRAINTS. Jian Fu, Qing-Xian Wu and Ze-Hui Mao International Journal of Innovative Computing, Information and Control ICIC International c 2013 ISSN 1349-4198 Volume 9, Number 12, December 2013 pp. 4793 4809 CHATTERING-FREE SMC WITH UNIDIRECTIONAL

More information

Generalized projective synchronization between two chaotic gyros with nonlinear damping

Generalized projective synchronization between two chaotic gyros with nonlinear damping Generalized projective synchronization between two chaotic gyros with nonlinear damping Min Fu-Hong( ) Department of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210042, China

More information

C(s) R(s) 1 C(s) C(s) C(s) = s - T. Ts + 1 = 1 s - 1. s + (1 T) Taking the inverse Laplace transform of Equation (5 2), we obtain

C(s) R(s) 1 C(s) C(s) C(s) = s - T. Ts + 1 = 1 s - 1. s + (1 T) Taking the inverse Laplace transform of Equation (5 2), we obtain analyses of the step response, ramp response, and impulse response of the second-order systems are presented. Section 5 4 discusses the transient-response analysis of higherorder systems. Section 5 5 gives

More information

Active Vibration Control for A Bilinear System with Nonlinear Velocity Time-delayed Feedback

Active Vibration Control for A Bilinear System with Nonlinear Velocity Time-delayed Feedback Proceedings of the World Congress on Engineering Vol III, WCE, July - 5,, London, U.K. Active Vibration Control for A Bilinear System with Nonlinear Velocity Time-delayed Feedback X. Gao, Q. Chen Abstract

More information

ME 563 HOMEWORK # 7 SOLUTIONS Fall 2010

ME 563 HOMEWORK # 7 SOLUTIONS Fall 2010 ME 563 HOMEWORK # 7 SOLUTIONS Fall 2010 PROBLEM 1: Given the mass matrix and two undamped natural frequencies for a general two degree-of-freedom system with a symmetric stiffness matrix, find the stiffness

More information

Lyapunov Stability of Linear Predictor Feedback for Distributed Input Delays

Lyapunov Stability of Linear Predictor Feedback for Distributed Input Delays IEEE TRANSACTIONS ON AUTOMATIC CONTROL VOL. 56 NO. 3 MARCH 2011 655 Lyapunov Stability of Linear Predictor Feedback for Distributed Input Delays Nikolaos Bekiaris-Liberis Miroslav Krstic In this case system

More information

Suppression of the primary resonance vibrations of a forced nonlinear system using a dynamic vibration absorber

Suppression of the primary resonance vibrations of a forced nonlinear system using a dynamic vibration absorber Suppression of the primary resonance vibrations of a forced nonlinear system using a dynamic vibration absorber J.C. Ji, N. Zhang Faculty of Engineering, University of Technology, Sydney PO Box, Broadway,

More information

Introduction to Vibration. Professor Mike Brennan

Introduction to Vibration. Professor Mike Brennan Introduction to Vibration Professor Mie Brennan Introduction to Vibration Nature of vibration of mechanical systems Free and forced vibrations Frequency response functions Fundamentals For free vibration

More information

Linear Fractionally Damped Oscillator. Mark Naber a) Department of Mathematics. Monroe County Community College. Monroe, Michigan,

Linear Fractionally Damped Oscillator. Mark Naber a) Department of Mathematics. Monroe County Community College. Monroe, Michigan, Linear Fractionally Damped Oscillator Mark Naber a) Department of Mathematics Monroe County Community College Monroe, Michigan, 48161-9746 In this paper the linearly damped oscillator equation is considered

More information

8. Introduction and Chapter Objectives

8. Introduction and Chapter Objectives Real Analog - Circuits Chapter 8: Second Order Circuits 8. Introduction and Chapter Objectives Second order systems are, by definition, systems whose input-output relationship is a second order differential

More information

Floor Control (kn) Time (sec) Floor 5. Displacement (mm) Time (sec) Floor 5.

Floor Control (kn) Time (sec) Floor 5. Displacement (mm) Time (sec) Floor 5. DECENTRALIZED ROBUST H CONTROL OF MECHANICAL STRUCTURES. Introduction L. Bakule and J. Böhm Institute of Information Theory and Automation Academy of Sciences of the Czech Republic The results contributed

More information

Classical transcendental curves

Classical transcendental curves Classical transcendental curves Reinhard Schultz May, 2008 In his writings on coordinate geometry, Descartes emphasized that he was only willing to work with curves that could be defined by algebraic equations.

More information

1859. Forced transverse vibration analysis of a Rayleigh double-beam system with a Pasternak middle layer subjected to compressive axial load

1859. Forced transverse vibration analysis of a Rayleigh double-beam system with a Pasternak middle layer subjected to compressive axial load 1859. Forced transverse vibration analysis of a Rayleigh double-beam system with a Pasternak middle layer subjected to compressive axial load Nader Mohammadi 1, Mehrdad Nasirshoaibi 2 Department of Mechanical

More information

Stability of Feedback Control Systems: Absolute and Relative

Stability of Feedback Control Systems: Absolute and Relative Stability of Feedback Control Systems: Absolute and Relative Dr. Kevin Craig Greenheck Chair in Engineering Design & Professor of Mechanical Engineering Marquette University Stability: Absolute and Relative

More information

Linear Second-Order Differential Equations LINEAR SECOND-ORDER DIFFERENTIAL EQUATIONS

Linear Second-Order Differential Equations LINEAR SECOND-ORDER DIFFERENTIAL EQUATIONS 11.11 LINEAR SECOND-ORDER DIFFERENTIAL EQUATIONS A Spring with Friction: Damped Oscillations The differential equation, which we used to describe the motion of a spring, disregards friction. But there

More information

The ϵ-capacity of a gain matrix and tolerable disturbances: Discrete-time perturbed linear systems

The ϵ-capacity of a gain matrix and tolerable disturbances: Discrete-time perturbed linear systems IOSR Journal of Mathematics (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volume 11, Issue 3 Ver. IV (May - Jun. 2015), PP 52-62 www.iosrjournals.org The ϵ-capacity of a gain matrix and tolerable disturbances:

More information

Research Article Numerical Stability Test of Neutral Delay Differential Equations

Research Article Numerical Stability Test of Neutral Delay Differential Equations Mathematical Problems in Engineering Volume 2008, Article ID 698043, 10 pages doi:10.1155/2008/698043 Research Article Numerical Stability Test of Neutral Delay Differential Equations Z. H. Wang Institute

More information

1 Lyapunov theory of stability

1 Lyapunov theory of stability M.Kawski, APM 581 Diff Equns Intro to Lyapunov theory. November 15, 29 1 1 Lyapunov theory of stability Introduction. Lyapunov s second (or direct) method provides tools for studying (asymptotic) stability

More information

Nonlinear Autonomous Systems of Differential

Nonlinear Autonomous Systems of Differential Chapter 4 Nonlinear Autonomous Systems of Differential Equations 4.0 The Phase Plane: Linear Systems 4.0.1 Introduction Consider a system of the form x = A(x), (4.0.1) where A is independent of t. Such

More information

Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Popov Criterion

Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Popov Criterion Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Popov Criterion Xiaojun Ban, X. Z. Gao, Xianlin Huang 3, and Hang Yin 4 Department of Control Theory and Engineering, Harbin

More information

CONTROL SYSTEMS, ROBOTICS AND AUTOMATION - Vol. VII - System Characteristics: Stability, Controllability, Observability - Jerzy Klamka

CONTROL SYSTEMS, ROBOTICS AND AUTOMATION - Vol. VII - System Characteristics: Stability, Controllability, Observability - Jerzy Klamka SYSTEM CHARACTERISTICS: STABILITY, CONTROLLABILITY, OBSERVABILITY Jerzy Klamka Institute of Automatic Control, Technical University, Gliwice, Poland Keywords: stability, controllability, observability,

More information

Topic 5 Notes Jeremy Orloff. 5 Homogeneous, linear, constant coefficient differential equations

Topic 5 Notes Jeremy Orloff. 5 Homogeneous, linear, constant coefficient differential equations Topic 5 Notes Jeremy Orloff 5 Homogeneous, linear, constant coefficient differential equations 5.1 Goals 1. Be able to solve homogeneous constant coefficient linear differential equations using the method

More information

Global Analysis of Piecewise Linear Systems Using Impact Maps and Surface Lyapunov Functions

Global Analysis of Piecewise Linear Systems Using Impact Maps and Surface Lyapunov Functions IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL 48, NO 12, DECEMBER 2003 2089 Global Analysis of Piecewise Linear Systems Using Impact Maps and Surface Lyapunov Functions Jorge M Gonçalves, Alexandre Megretski,

More information

Existence of permanent oscillations for a ring of coupled van der Pol oscillators with time delays

Existence of permanent oscillations for a ring of coupled van der Pol oscillators with time delays Global Journal of Pure and Applied Mathematics. ISSN 0973-1768 Volume 14, Number 1 (2018), pp. 139 152 Research India Publications http://www.ripublication.com/gjpam.htm Existence of permanent oscillations

More information

Research Article A Note on the Solutions of the Van der Pol and Duffing Equations Using a Linearisation Method

Research Article A Note on the Solutions of the Van der Pol and Duffing Equations Using a Linearisation Method Mathematical Problems in Engineering Volume 1, Article ID 693453, 1 pages doi:11155/1/693453 Research Article A Note on the Solutions of the Van der Pol and Duffing Equations Using a Linearisation Method

More information

Robust Gain Scheduling Synchronization Method for Quadratic Chaotic Systems With Channel Time Delay Yu Liang and Horacio J.

Robust Gain Scheduling Synchronization Method for Quadratic Chaotic Systems With Channel Time Delay Yu Liang and Horacio J. 604 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I: REGULAR PAPERS, VOL. 56, NO. 3, MARCH 2009 Robust Gain Scheduling Synchronization Method for Quadratic Chaotic Systems With Channel Time Delay Yu Liang

More information

Parametric Equations

Parametric Equations Parametric Equations By: OpenStaxCollege Consider the path a moon follows as it orbits a planet, which simultaneously rotates around the sun, as seen in [link]. At any moment, the moon is located at a

More information

4. Complex Oscillations

4. Complex Oscillations 4. Complex Oscillations The most common use of complex numbers in physics is for analyzing oscillations and waves. We will illustrate this with a simple but crucially important model, the damped harmonic

More information

Chaos suppression of uncertain gyros in a given finite time

Chaos suppression of uncertain gyros in a given finite time Chin. Phys. B Vol. 1, No. 11 1 1155 Chaos suppression of uncertain gyros in a given finite time Mohammad Pourmahmood Aghababa a and Hasan Pourmahmood Aghababa bc a Electrical Engineering Department, Urmia

More information

x(t+ δt) - x(t) = slope δt t+δt

x(t+ δt) - x(t) = slope δt t+δt Techniques of Physics Worksheet 2 Classical Vibrations and Waves Introduction You will have encountered many different examples of wave phenomena in your courses and should be familiar with most of the

More information

APPPHYS 217 Tuesday 6 April 2010

APPPHYS 217 Tuesday 6 April 2010 APPPHYS 7 Tuesday 6 April Stability and input-output performance: second-order systems Here we present a detailed example to draw connections between today s topics and our prior review of linear algebra

More information

A Novel Integral-Based Event Triggering Control for Linear Time-Invariant Systems

A Novel Integral-Based Event Triggering Control for Linear Time-Invariant Systems 53rd IEEE Conference on Decision and Control December 15-17, 2014. Los Angeles, California, USA A Novel Integral-Based Event Triggering Control for Linear Time-Invariant Systems Seyed Hossein Mousavi 1,

More information

Controller Design using Root Locus

Controller Design using Root Locus Chapter 4 Controller Design using Root Locus 4. PD Control Root locus is a useful tool to design different types of controllers. Below, we will illustrate the design of proportional derivative controllers

More information

Uncertainty and Robustness for SISO Systems

Uncertainty and Robustness for SISO Systems Uncertainty and Robustness for SISO Systems ELEC 571L Robust Multivariable Control prepared by: Greg Stewart Outline Nature of uncertainty (models and signals). Physical sources of model uncertainty. Mathematical

More information

Section 3.7: Mechanical and Electrical Vibrations

Section 3.7: Mechanical and Electrical Vibrations Section 3.7: Mechanical and Electrical Vibrations Second order linear equations with constant coefficients serve as mathematical models for mechanical and electrical oscillations. For example, the motion

More information

Time-delay feedback control in a delayed dynamical chaos system and its applications

Time-delay feedback control in a delayed dynamical chaos system and its applications Time-delay feedback control in a delayed dynamical chaos system and its applications Ye Zhi-Yong( ), Yang Guang( ), and Deng Cun-Bing( ) School of Mathematics and Physics, Chongqing University of Technology,

More information

A Search for the Simplest Chaotic Partial Differential Equation

A Search for the Simplest Chaotic Partial Differential Equation A Search for the Simplest Chaotic Partial Differential Equation C. Brummitt University of Wisconsin-Madison, Department of Physics cbrummitt@wisc.edu J. C. Sprott University of Wisconsin-Madison, Department

More information

Transient Response of a Second-Order System

Transient Response of a Second-Order System Transient Response of a Second-Order System ECEN 830 Spring 01 1. Introduction In connection with this experiment, you are selecting the gains in your feedback loop to obtain a well-behaved closed-loop

More information

Evaluation of active structural vibration control strategies in milling process

Evaluation of active structural vibration control strategies in milling process Evaluation of active structural vibration control strategies in milling process Monnin, J. (a); Wegener, K. (a) a) Institute of Machine Tools and Manufacturing, Zurich, Switzerland Keywords: Mechatronics,

More information

Complex Numbers. The set of complex numbers can be defined as the set of pairs of real numbers, {(x, y)}, with two operations: (i) addition,

Complex Numbers. The set of complex numbers can be defined as the set of pairs of real numbers, {(x, y)}, with two operations: (i) addition, Complex Numbers Complex Algebra The set of complex numbers can be defined as the set of pairs of real numbers, {(x, y)}, with two operations: (i) addition, and (ii) complex multiplication, (x 1, y 1 )

More information

Trajectory planning and feedforward design for electromechanical motion systems version 2

Trajectory planning and feedforward design for electromechanical motion systems version 2 2 Trajectory planning and feedforward design for electromechanical motion systems version 2 Report nr. DCT 2003-8 Paul Lambrechts Email: P.F.Lambrechts@tue.nl April, 2003 Abstract This report considers

More information

Synchronization of a General Delayed Complex Dynamical Network via Adaptive Feedback

Synchronization of a General Delayed Complex Dynamical Network via Adaptive Feedback Synchronization of a General Delayed Complex Dynamical Network via Adaptive Feedback Qunjiao Zhang and Junan Lu College of Mathematics and Statistics State Key Laboratory of Software Engineering Wuhan

More information

Table of contents. d 2 y dx 2, As the equation is linear, these quantities can only be involved in the following manner:

Table of contents. d 2 y dx 2, As the equation is linear, these quantities can only be involved in the following manner: M ath 0 1 E S 1 W inter 0 1 0 Last Updated: January, 01 0 Solving Second Order Linear ODEs Disclaimer: This lecture note tries to provide an alternative approach to the material in Sections 4. 4. 7 and

More information

WEEKS 8-9 Dynamics of Machinery

WEEKS 8-9 Dynamics of Machinery WEEKS 8-9 Dynamics of Machinery References Theory of Machines and Mechanisms, J.J.Uicker, G.R.Pennock ve J.E. Shigley, 2011 Mechanical Vibrations, Singiresu S. Rao, 2010 Mechanical Vibrations: Theory and

More information

Stability and bifurcation of a simple neural network with multiple time delays.

Stability and bifurcation of a simple neural network with multiple time delays. Fields Institute Communications Volume, 999 Stability and bifurcation of a simple neural network with multiple time delays. Sue Ann Campbell Department of Applied Mathematics University of Waterloo Waterloo

More information

Problem. Set up the definite integral that gives the area of the region. y 1 = x 2 6x, y 2 = 0. dx = ( 2x 2 + 6x) dx.

Problem. Set up the definite integral that gives the area of the region. y 1 = x 2 6x, y 2 = 0. dx = ( 2x 2 + 6x) dx. Wednesday, September 3, 5 Page Problem Problem. Set up the definite integral that gives the area of the region y x 6x, y Solution. The graphs intersect at x and x 6 and y is the uppermost function. So

More information

The degree of a function is the highest exponent in the expression

The degree of a function is the highest exponent in the expression L1 1.1 Power Functions Lesson MHF4U Jensen Things to Remember About Functions A relation is a function if for every x-value there is only 1 corresponding y-value. The graph of a relation represents a function

More information

Applications of Second-Order Differential Equations

Applications of Second-Order Differential Equations Applications of Second-Order Differential Equations ymy/013 Building Intuition Even though there are an infinite number of differential equations, they all share common characteristics that allow intuition

More information

A Generalized Uncertainty Principle and Sparse Representation in Pairs of Bases

A Generalized Uncertainty Principle and Sparse Representation in Pairs of Bases 2558 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL 48, NO 9, SEPTEMBER 2002 A Generalized Uncertainty Principle Sparse Representation in Pairs of Bases Michael Elad Alfred M Bruckstein Abstract An elementary

More information

Software Engineering 3DX3. Slides 8: Root Locus Techniques

Software Engineering 3DX3. Slides 8: Root Locus Techniques Software Engineering 3DX3 Slides 8: Root Locus Techniques Dr. Ryan Leduc Department of Computing and Software McMaster University Material based on Control Systems Engineering by N. Nise. c 2006, 2007

More information

Fundamentals of Dynamical Systems / Discrete-Time Models. Dr. Dylan McNamara people.uncw.edu/ mcnamarad

Fundamentals of Dynamical Systems / Discrete-Time Models. Dr. Dylan McNamara people.uncw.edu/ mcnamarad Fundamentals of Dynamical Systems / Discrete-Time Models Dr. Dylan McNamara people.uncw.edu/ mcnamarad Dynamical systems theory Considers how systems autonomously change along time Ranges from Newtonian

More information

Robust SPR Synthesis for Low-Order Polynomial Segments and Interval Polynomials

Robust SPR Synthesis for Low-Order Polynomial Segments and Interval Polynomials Robust SPR Synthesis for Low-Order Polynomial Segments and Interval Polynomials Long Wang ) and Wensheng Yu 2) ) Dept. of Mechanics and Engineering Science, Center for Systems and Control, Peking University,

More information

TOPIC E: OSCILLATIONS SPRING 2019

TOPIC E: OSCILLATIONS SPRING 2019 TOPIC E: OSCILLATIONS SPRING 2019 1. Introduction 1.1 Overview 1.2 Degrees of freedom 1.3 Simple harmonic motion 2. Undamped free oscillation 2.1 Generalised mass-spring system: simple harmonic motion

More information

Chapter 1- Polynomial Functions

Chapter 1- Polynomial Functions Chapter 1- Polynomial Functions Lesson Package MHF4U Chapter 1 Outline Unit Goal: By the end of this unit, you will be able to identify and describe some key features of polynomial functions, and make

More information

HIGHER ORDER SLIDING MODES AND ARBITRARY-ORDER EXACT ROBUST DIFFERENTIATION

HIGHER ORDER SLIDING MODES AND ARBITRARY-ORDER EXACT ROBUST DIFFERENTIATION HIGHER ORDER SLIDING MODES AND ARBITRARY-ORDER EXACT ROBUST DIFFERENTIATION A. Levant Institute for Industrial Mathematics, 4/24 Yehuda Ha-Nachtom St., Beer-Sheva 843, Israel Fax: +972-7-232 and E-mail:

More information

Theory and Practice of Rotor Dynamics Prof. Rajiv Tiwari Department of Mechanical Engineering Indian Institute of Technology Guwahati

Theory and Practice of Rotor Dynamics Prof. Rajiv Tiwari Department of Mechanical Engineering Indian Institute of Technology Guwahati Theory and Practice of Rotor Dynamics Prof. Rajiv Tiwari Department of Mechanical Engineering Indian Institute of Technology Guwahati Module - 7 Instability in Rotor Systems Lecture - 2 Fluid-Film Bearings

More information

Identification Methods for Structural Systems. Prof. Dr. Eleni Chatzi System Stability - 26 March, 2014

Identification Methods for Structural Systems. Prof. Dr. Eleni Chatzi System Stability - 26 March, 2014 Prof. Dr. Eleni Chatzi System Stability - 26 March, 24 Fundamentals Overview System Stability Assume given a dynamic system with input u(t) and output x(t). The stability property of a dynamic system can

More information

NORMAL MODES, WAVE MOTION AND THE WAVE EQUATION. Professor G.G.Ross. Oxford University Hilary Term 2009

NORMAL MODES, WAVE MOTION AND THE WAVE EQUATION. Professor G.G.Ross. Oxford University Hilary Term 2009 NORMAL MODES, WAVE MOTION AND THE WAVE EQUATION Professor G.G.Ross Oxford University Hilary Term 009 This course of twelve lectures covers material for the paper CP4: Differential Equations, Waves and

More information

Stabilization of Angular Velocity of Asymmetrical Rigid Body. Using Two Constant Torques

Stabilization of Angular Velocity of Asymmetrical Rigid Body. Using Two Constant Torques Stabilization of Angular Velocity of Asymmetrical Rigid Body Using Two Constant Torques Hirohisa Kojima Associate Professor Department of Aerospace Engineering Tokyo Metropolitan University 6-6, Asahigaoka,

More information

GENG2140, S2, 2012 Week 7: Curve fitting

GENG2140, S2, 2012 Week 7: Curve fitting GENG2140, S2, 2012 Week 7: Curve fitting Curve fitting is the process of constructing a curve, or mathematical function, f(x) that has the best fit to a series of data points Involves fitting lines and

More information

Chapter III. Stability of Linear Systems

Chapter III. Stability of Linear Systems 1 Chapter III Stability of Linear Systems 1. Stability and state transition matrix 2. Time-varying (non-autonomous) systems 3. Time-invariant systems 1 STABILITY AND STATE TRANSITION MATRIX 2 In this chapter,

More information

Second Order and Higher Order Systems

Second Order and Higher Order Systems Second Order and Higher Order Systems 1. Second Order System In this section, we shall obtain the response of a typical second-order control system to a step input. In terms of damping ratio and natural

More information

Topic 5: The Difference Equation

Topic 5: The Difference Equation Topic 5: The Difference Equation Yulei Luo Economics, HKU October 30, 2017 Luo, Y. (Economics, HKU) ME October 30, 2017 1 / 42 Discrete-time, Differences, and Difference Equations When time is taken to

More information

α Cubic nonlinearity coefficient. ISSN: x DOI: : /JOEMS

α Cubic nonlinearity coefficient. ISSN: x DOI: : /JOEMS Journal of the Egyptian Mathematical Society Volume (6) - Issue (1) - 018 ISSN: 1110-65x DOI: : 10.1608/JOEMS.018.9468 ENHANCING PD-CONTROLLER EFFICIENCY VIA TIME- DELAYS TO SUPPRESS NONLINEAR SYSTEM OSCILLATIONS

More information

Filter Design for Linear Time Delay Systems

Filter Design for Linear Time Delay Systems IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 49, NO. 11, NOVEMBER 2001 2839 ANewH Filter Design for Linear Time Delay Systems E. Fridman Uri Shaked, Fellow, IEEE Abstract A new delay-dependent filtering

More information

Natural frequency analysis of fluid-conveying pipes in the ADINA system

Natural frequency analysis of fluid-conveying pipes in the ADINA system Journal of Physics: Conference Series OPEN ACCESS Natural frequency analysis of fluid-conveying pipes in the ADINA system To cite this article: L Wang et al 2013 J. Phys.: Conf. Ser. 448 012014 View the

More information

4.9 Free Mechanical Vibrations

4.9 Free Mechanical Vibrations 4.9 Free Mechanical Vibrations Spring-Mass Oscillator When the spring is not stretched and the mass m is at rest, the system is at equilibrium. Forces Acting in the System When the mass m is displaced

More information

154 Chapter 9 Hints, Answers, and Solutions The particular trajectories are highlighted in the phase portraits below.

154 Chapter 9 Hints, Answers, and Solutions The particular trajectories are highlighted in the phase portraits below. 54 Chapter 9 Hints, Answers, and Solutions 9. The Phase Plane 9.. 4. The particular trajectories are highlighted in the phase portraits below... 3. 4. 9..5. Shown below is one possibility with x(t) and

More information

GLOBAL ANALYSIS OF PIECEWISE LINEAR SYSTEMS USING IMPACT MAPS AND QUADRATIC SURFACE LYAPUNOV FUNCTIONS

GLOBAL ANALYSIS OF PIECEWISE LINEAR SYSTEMS USING IMPACT MAPS AND QUADRATIC SURFACE LYAPUNOV FUNCTIONS GLOBAL ANALYSIS OF PIECEWISE LINEAR SYSTEMS USING IMPACT MAPS AND QUADRATIC SURFACE LYAPUNOV FUNCTIONS Jorge M. Gonçalves, Alexandre Megretski y, Munther A. Dahleh y California Institute of Technology

More information

سایت آموزش مهندسی مکانیک

سایت آموزش مهندسی مکانیک http://www.drshokuhi.com سایت آموزش مهندسی مکانیک 1 Single-degree-of-freedom Systems 1.1 INTRODUCTION In this chapter the vibration of a single-degree-of-freedom system will be analyzed and reviewed. Analysis,

More information

Additive resonances of a controlled van der Pol-Duffing oscillator

Additive resonances of a controlled van der Pol-Duffing oscillator Additive resonances of a controlled van der Pol-Duffing oscillator This paper has been published in Journal of Sound and Vibration vol. 5 issue - 8 pp.-. J.C. Ji N. Zhang Faculty of Engineering University

More information

Estimating the Region of Attraction of Ordinary Differential Equations by Quantified Constraint Solving

Estimating the Region of Attraction of Ordinary Differential Equations by Quantified Constraint Solving Estimating the Region of Attraction of Ordinary Differential Equations by Quantified Constraint Solving Henning Burchardt and Stefan Ratschan October 31, 2007 Abstract We formulate the problem of estimating

More information

Collocated versus non-collocated control [H04Q7]

Collocated versus non-collocated control [H04Q7] Collocated versus non-collocated control [H04Q7] Jan Swevers September 2008 0-0 Contents Some concepts of structural dynamics Collocated versus non-collocated control Summary This lecture is based on parts

More information

Chapter 6 Nonlinear Systems and Phenomena. Friday, November 2, 12

Chapter 6 Nonlinear Systems and Phenomena. Friday, November 2, 12 Chapter 6 Nonlinear Systems and Phenomena 6.1 Stability and the Phase Plane We now move to nonlinear systems Begin with the first-order system for x(t) d dt x = f(x,t), x(0) = x 0 In particular, consider

More information

Differential Equations

Differential Equations Electricity and Magnetism I (P331) M. R. Shepherd October 14, 2008 Differential Equations The purpose of this note is to provide some supplementary background on differential equations. The problems discussed

More information

EQUIVALENT SINGLE-DEGREE-OF-FREEDOM SYSTEM AND FREE VIBRATION

EQUIVALENT SINGLE-DEGREE-OF-FREEDOM SYSTEM AND FREE VIBRATION 1 EQUIVALENT SINGLE-DEGREE-OF-FREEDOM SYSTEM AND FREE VIBRATION The course on Mechanical Vibration is an important part of the Mechanical Engineering undergraduate curriculum. It is necessary for the development

More information

EE C128 / ME C134 Feedback Control Systems

EE C128 / ME C134 Feedback Control Systems EE C128 / ME C134 Feedback Control Systems Lecture Additional Material Introduction to Model Predictive Control Maximilian Balandat Department of Electrical Engineering & Computer Science University of

More information

Fluid Mechanics Prof. S.K. Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur

Fluid Mechanics Prof. S.K. Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur Fluid Mechanics Prof. S.K. Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur Lecture - 42 Flows with a Free Surface Part II Good morning. I welcome you to this session

More information

PreCalculus Honors Curriculum Pacing Guide First Half of Semester

PreCalculus Honors Curriculum Pacing Guide First Half of Semester Unit 1 Introduction to Trigonometry (9 days) First Half of PC.FT.1 PC.FT.2 PC.FT.2a PC.FT.2b PC.FT.3 PC.FT.4 PC.FT.8 PC.GCI.5 Understand that the radian measure of an angle is the length of the arc on

More information

MCE693/793: Analysis and Control of Nonlinear Systems

MCE693/793: Analysis and Control of Nonlinear Systems MCE693/793: Analysis and Control of Nonlinear Systems Lyapunov Stability - I Hanz Richter Mechanical Engineering Department Cleveland State University Definition of Stability - Lyapunov Sense Lyapunov

More information

Linear Systems Theory

Linear Systems Theory ME 3253 Linear Systems Theory Review Class Overview and Introduction 1. How to build dynamic system model for physical system? 2. How to analyze the dynamic system? -- Time domain -- Frequency domain (Laplace

More information

7 Planar systems of linear ODE

7 Planar systems of linear ODE 7 Planar systems of linear ODE Here I restrict my attention to a very special class of autonomous ODE: linear ODE with constant coefficients This is arguably the only class of ODE for which explicit solution

More information

Physics I: Oscillations and Waves Prof. S. Bharadwaj Department of Physics and Meteorology. Indian Institute of Technology, Kharagpur

Physics I: Oscillations and Waves Prof. S. Bharadwaj Department of Physics and Meteorology. Indian Institute of Technology, Kharagpur Physics I: Oscillations and Waves Prof. S. Bharadwaj Department of Physics and Meteorology Indian Institute of Technology, Kharagpur Lecture No 03 Damped Oscillator II We were discussing, the damped oscillator

More information

Damped Harmonic Oscillator

Damped Harmonic Oscillator Damped Harmonic Oscillator Note: We use Newton s 2 nd Law instead of Conservation of Energy since we will have energy transferred into heat. F spring = -kx; F resistance = -bv. Note also: We use F ar =

More information

Compensator Design to Improve Transient Performance Using Root Locus

Compensator Design to Improve Transient Performance Using Root Locus 1 Compensator Design to Improve Transient Performance Using Root Locus Prof. Guy Beale Electrical and Computer Engineering Department George Mason University Fairfax, Virginia Correspondence concerning

More information

IN RECENT years, the observation and analysis of microwave

IN RECENT years, the observation and analysis of microwave 2334 IEEE TRANSACTIONS ON MAGNETICS, VOL. 34, NO. 4, JULY 1998 Calculation of the Formation Time for Microwave Magnetic Envelope Solitons Reinhold A. Staudinger, Pavel Kabos, Senior Member, IEEE, Hua Xia,

More information

A marks are for accuracy and are not given unless the relevant M mark has been given (M0 A1 is impossible!).

A marks are for accuracy and are not given unless the relevant M mark has been given (M0 A1 is impossible!). NOTES 1) In the marking scheme there are three types of marks: M marks are for method A marks are for accuracy and are not given unless the relevant M mark has been given (M0 is impossible!). B marks are

More information

A plane autonomous system is a pair of simultaneous first-order differential equations,

A plane autonomous system is a pair of simultaneous first-order differential equations, Chapter 11 Phase-Plane Techniques 11.1 Plane Autonomous Systems A plane autonomous system is a pair of simultaneous first-order differential equations, ẋ = f(x, y), ẏ = g(x, y). This system has an equilibrium

More information

A GENERALIZED SECOND ORDER COMPENSATOR DESIGN FOR VIBRATION CONTROL OF FLEXIBLE STRUCTURES

A GENERALIZED SECOND ORDER COMPENSATOR DESIGN FOR VIBRATION CONTROL OF FLEXIBLE STRUCTURES A GENERALIZED SECOND ORDER COMPENSATOR DESIGN FOR VIBRATION CONTROL OF FLEXIBLE STRUCTURES Hyochoong ~ a n and ~ t Brij N. Agrawalt Naval Postgraduate School Monterey, California t Abstract In this paper,

More information

Single-Time-Constant (STC) Circuits This lecture is given as a background that will be needed to determine the frequency response of the amplifiers.

Single-Time-Constant (STC) Circuits This lecture is given as a background that will be needed to determine the frequency response of the amplifiers. Single-Time-Constant (STC) Circuits This lecture is given as a background that will be needed to determine the frequency response of the amplifiers. Objectives To analyze and understand STC circuits with

More information

Notes on Complex Analysis

Notes on Complex Analysis Michael Papadimitrakis Notes on Complex Analysis Department of Mathematics University of Crete Contents The complex plane.. The complex plane...................................2 Argument and polar representation.........................

More information

STABILITY OF PLANAR NONLINEAR SWITCHED SYSTEMS

STABILITY OF PLANAR NONLINEAR SWITCHED SYSTEMS LABORATOIRE INORMATIQUE, SINAUX ET SYSTÈMES DE SOPHIA ANTIPOLIS UMR 6070 STABILITY O PLANAR NONLINEAR SWITCHED SYSTEMS Ugo Boscain, régoire Charlot Projet TOpModel Rapport de recherche ISRN I3S/RR 2004-07

More information

(x 1, y 1 ) = (x 2, y 2 ) if and only if x 1 = x 2 and y 1 = y 2.

(x 1, y 1 ) = (x 2, y 2 ) if and only if x 1 = x 2 and y 1 = y 2. 1. Complex numbers A complex number z is defined as an ordered pair z = (x, y), where x and y are a pair of real numbers. In usual notation, we write z = x + iy, where i is a symbol. The operations of

More information

Forced Oscillations in a Linear System Problems

Forced Oscillations in a Linear System Problems Forced Oscillations in a Linear System Problems Summary of the Principal Formulas The differential equation of forced oscillations for the kinematic excitation: ϕ + 2γ ϕ + ω 2 0ϕ = ω 2 0φ 0 sin ωt. Steady-state

More information

ASIGNIFICANT research effort has been devoted to the. Optimal State Estimation for Stochastic Systems: An Information Theoretic Approach

ASIGNIFICANT research effort has been devoted to the. Optimal State Estimation for Stochastic Systems: An Information Theoretic Approach IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL 42, NO 6, JUNE 1997 771 Optimal State Estimation for Stochastic Systems: An Information Theoretic Approach Xiangbo Feng, Kenneth A Loparo, Senior Member, IEEE,

More information

Work sheet / Things to know. Chapter 3

Work sheet / Things to know. Chapter 3 MATH 251 Work sheet / Things to know 1. Second order linear differential equation Standard form: Chapter 3 What makes it homogeneous? We will, for the most part, work with equations with constant coefficients

More information

ESC794: Special Topics: Model Predictive Control

ESC794: Special Topics: Model Predictive Control ESC794: Special Topics: Model Predictive Control Discrete-Time Systems Hanz Richter, Professor Mechanical Engineering Department Cleveland State University Discrete-Time vs. Sampled-Data Systems A continuous-time

More information

ANALYSIS AND CONTROLLING OF HOPF BIFURCATION FOR CHAOTIC VAN DER POL-DUFFING SYSTEM. China

ANALYSIS AND CONTROLLING OF HOPF BIFURCATION FOR CHAOTIC VAN DER POL-DUFFING SYSTEM. China Mathematical and Computational Applications, Vol. 9, No., pp. 84-9, 4 ANALYSIS AND CONTROLLING OF HOPF BIFURCATION FOR CHAOTIC VAN DER POL-DUFFING SYSTEM Ping Cai,, Jia-Shi Tang, Zhen-Bo Li College of

More information