Boundary Controllers for Euler-Bernoulli Beam with Arbitrary Decay Rate
|
|
- Hugo Poole
- 6 years ago
- Views:
Transcription
1 Proceedings of the 7th IEEE Conference on Decision and Control Cancun, Meico, Dec. 9-11, TuA7.1 Boundar Controllers for Euler-Bernoulli Beam with Arbitrar Deca Rate Andre Smshlaev, Bao-Zhu Guo, and Miroslav Krstic Abstract We consider a problem of stabilization of the Euler-Bernoulli beam. The beam is controlled at one end (using position and moment actuators) and has the sliding boundar condition at the opposite end. We design the controllers that achieve an prescribed deca rate of the closed loop sstem, improving upon the eisting boundar damper controllers. The idea of the control design is to use the well-known representation of the Euler-Bernoulli beam model through the Schrödinger equation, and then adapt recentl developed backstepping designs for the latter in order to stabilize the beam. We derive the eplicit integral transformation (and its inverse) of the closed-loop sstem into an eponentiall stable target sstem. The transformation is of a novel Volterra/Fredholm tpe. The design is illustrated with simulations. I. INTRODUCTION In this paper we present a novel control design for the Euler-Bernoulli beam, which achieves arbitrar deca rate of the closed-loop sstem b boundar feedback. The beam is controlled at one boundar using position and moment actuators and has the sliding boundar condition at the uncontrolled boundar (Fig. 1). We assume that the full state (displacement and velocit) measurements are available. The idea of our method is to use the well-known representation of the Euler-Bernoulli beam model through the Schrödinger equation [13]. For the Schrödinger equation, recentl developed controllers [6] based on the backstepping method [16] improved on the common passive damper controllers b moving all open-loop eigenvalues arbitraril to the left in the comple plane. In this paper we adapt the design from [6] to the Euler-Bernoulli beam. We should note that the design does not carr over triviall from one sstem to another because the boundar conditions of the beam do not directl correspond to the boundar conditions of the Schrödinger equation. We derive the invertible integral transformation which, together with boundar feedbacks, converts the beam into an eponentiall stable target sstem. The kernels of the transformation and control gains are given eplicitl, epressed in terms of Kelvin functions. In contrast to other backstepping designs, that have been developed for more compicated models of the beams, such as the shear beam model [5] and the Timoshenko beam model [7], [], here Andre Smshlaev and Miroslav Krstic are with the Department of Mechanical and Aerospace Engineering, Universit of California at San Diego, La Jolla, CA 993, USA asmshl@ucsd.edu and krstic@ucsd.edu Bao-Zhu Guo is with Institute of Sstems Science, Academ of Mathematics and Sstems Sciences Academia Sinica, Beijing 1, P. R. China bzguo@iss.ac.cn w(,t) Fig. 1. Uncontrolled Euler-Bernoulli beam with the sliding boundar condition at = and the hinged boundar condition at = 1. the transformation is not of a strict-feedback form. Instead, it contains both Volterra- and Fredholm-tpe integrals. The eisting literature on the control of the Euler-Bernoulli beam is etensive (see, e.g. [1], [], [3], [1], [11], [9], [1] and references therein), however, unlike for the wave equation, the popular passive damper controllers provide onl a limited damping for the beam. Two constructive approaches have been used to achieve an arbitrar deca rate for beams. In [], and later in [17], b choosing a special cost function the authors design the controllers that do not require a solution of the Riccati equation. A pole assignment (or Riesz basis) approach was used in [15], with an application to Euler-Bernoulli beam with structural damping. In these three papers, the unbounded control operator is assumed to be admissible, which is not satisfied at least for the moment control for Euler-Bernoulli beam considered in this paper. An interesting etension of Riesz basis approach, which removes the admissibilit assumption, was presented in [1], a necessar and sufficient condition was given to assign the poles b bounded feedback. However, the resulting feedback is not as eplicit as the controllers presented in this paper, as it is represented as an infinite sum of infinite products. II. PROBLEM FORMULATION Consider the Euler-Bernoulli beam model w tt (, t) w (, t) =, < < 1. (1) We assume the sliding end boundar conditions at = w (, t) = w (, t) =. () and the following boundar conditions at = 1: w(1, t) = u 1 (t), w (1, t) = u (t). (3) Here w is a beam displacement and u 1, u are the position and moment control inputs. The open-loop case u 1 = u corresponds to the hinged end (Fig. 1). The objective is to stabilize the zero equilibrium of the beam //$5. IEEE 15
2 7th IEEE CDC, Cancun, Meico, Dec. 9-11, TuA7.1 Let us introduce a new comple variable v = w t jw, () j is the imaginar unit. The direct substitution shows that v defined in this wa satisfies the Schrödinger equation v t (, t) = jv (, t) (5) v (, t) =, v(1, t) = u(t). (6) In a recent paper [6], the backstepping controllers were designed that achieve an arbitrar deca rate for the closed-loop sstem (5) (6). This gives an idea to adapt the control design from [6] to the Euler-Bernoulli beam (1) (3). However, the design is not going to be trivial because, as can be seen from (), regulation of v to zero does not necessaril impl the regulation of w to zero. Before we proceed, we summarize the backstepping control design for (5) (6). III. SUMMARY OF BACKSTEPPING DESIGN FOR THE SCHRÖDINGER EQUATION As shown in [6], the controller v(1, t) = and the transformation ψ(, t) = v(, t) k(1, )v(, t)d, (7) k(, )v(, t)d, () k(, ) is a comple-valued function that satisfies k (, ) = k (, ) cjk(, ) (9) k (, ) =, k(, ) = cj (1) with c >, map (5), (6) into the following eponentiall stable target sstem ψ t (, t) = jψ (, t) cψ(, t) (11) ψ (, t) = ψ(1, t) =. (1) The eigenvalues of this sstem are σ = c j π (n1), n =, 1,,..., therefore the parameter c allows to move them arbitraril to the left in the comple plane. The solution to the PDE (9) (1) is ( cj( ) I 1 ) k(, ) = cj cj( ) = [ ( ) (j 1)ber 1 c ( ) ( )] (1 j)bei 1 c ( ). (13) c ( ) Here I 1 ( ) is the modified Bessel function and ber 1 ( ) and bei 1 ( ) are the Kelvin functions, which are defined in terms of I 1 as { ber 1 () = Im bei 1 () = Re ( 1 j I 1 { ( 1 j I 1 )} )} (1). (15) The inverse transformation with v(, t) = ψ(, t) l(, ) = cj l(, )ψ(, t)d (16) ( cj( ) J 1 ) cj( ) maps (11) (1) back into (5), (6), (7). IV. TARGET SYSTEM (17) In this section we choose the target sstem which sets the desired behavior of the beam. Let us define α(, t) = Im {ψ(ξ, t)} dξd, (1) ψ is the state of the target sstem (11) (1) for the Schrödinger equation. It is straightforward to verif that α satisfies the following fourth-order PDE: with boundar conditions α tt cα t c α α = (19) α (, t) = α (, t) = () α (1, t) = α(1, t) =. (1) That this target sstem is eponentiall stable is easil seen from the definition (1) and the fact that (11) (1) is eponentiall stable. With a straightforward computation we obtain the eigenvalues of (19) (1): σ n = c ± j π (n 1), for n =, 1,,... () To state the precise result, we define the energ state space H α = H L (, 1) L (, 1), with H L(, 1) = {f H (, 1) f () = f(1) = } (3) and with the inner product induced norm (f, g) H α = [f () g() ] d () for all (f, g) H α. The sstem (19) (1) can be written as d dt (α, α t) = C(α, α t ) D(α, α t ), (5) C is a skew-adjoint operator given b C(f, g) = (g, f () ), (f, g) D(C), (6) D(C) = {(f, g) H α f H (, 1), g HL (, 1), f () = f (1) = }, (7) and D is a bounded operator given b D(f, g) = (, cg c f), (f, g) H α. () Theorem 1: Let C, D be defined b (7)-(). Then: 16
3 7th IEEE CDC, Cancun, Meico, Dec. 9-11, TuA7.1 (i) There is a famil of eigenfunctions of C D, which form a Riesz basis for H α. Hence C D generates a C - semigroup e (CD)t on H α. For an (α(, ), α t (, )) H α, there eists a unique (mild) solution to (5): (α(, t), α t (, t)) = e (CD)t (α(, ), α t (, )) C(, ; H α ), and if (α(, ), α t (, )) D(C), then (α(, t), α t (, t)) C 1 (, ; D(C)). (ii) The spectrum-determined growth condition holds for the semigroup e (CD)t : ω(c D) = S(C D) = c, ω(c D) is the growth bound of e (CD)t and S(C D) is the spectral bound of C D. (iii). The sstem (5) is eponentiall stable: for an given ε >, there eists C ε > such that E α (t) C ε e (cε)t E(), (9) E α (t) = 1 Proof. Omitted. [α (, t) α t (, t)]d. (3) V. CONTROL LAWS THAT STABILIZE THE BEAM TO A CONSTANT PROFILE From (1) and (11) (1) it follows that the state ψ is epressed through α in the following wa: ψ = α t cα jα. (31) Taking the real and imaginar parts of the transformation (), we get α t (, t) cα(, t) = w t (, t) α (, t) = w (, t) r(, )w t (, t)d s(, )w (, t)d (3) s(, )w t (, t)d r(, )w (, t)d, (33) the gains r(, ) and s(, ), defined correspondingl as the real and imaginar part of k(, ) = r(, )js(, ), satisf two coupled PDEs and r (, ) = r (, ) cs(, ) (3) r (, ) = r(, ) = (35) s (, ) = s (, ) cr(, ) (36) s (, ) = s(, ) = c. (37) The solutions to these PDEs are obtained from (13): r(, ) = s(, ) = c ( ) c ( ) [ ber 1 ( c ( ) ) ( )] bei 1 c ( ) [ ( ) ber 1 c ( ) (3) ( )] bei 1 c ( ). (39) The control laws are obtained b setting = 1 in (3), (33): w t (1, t) = w (1, t) = r(1, )w t (, t)d r(1, )w (, t)d s(1, )w (, t)d () s(1, )w t (, t)d. (1) Note that the feedback () would be implemented as integral, not proportional, control. The control laws (), (1) stabilize the beam to a constant profile. To see this, we use the equations (), (31), and the inverse transformation (16) to get w t (, t) = α t (, t) cα(, t) w (, t) = α (, t) s(, )α (, t)d r(, )(α t (, t) cα(, t))d () s(, )(α t (, t) cα(, t))d r(, )α (, t)d. (3) In deriving (), (3) we used the fact that l(, ) = r(, )js(, ), which can be shown from (17). We can see that when α converges to zero, w t and w converge to zero. Since w () =, this implies that w converges to a constant. Therefore, the straightforward application of the control design for the Schrödinger equation to the Euler- Bernoulli beam equation results in controls that suppress oscillations without necessaril bringing the beam to the zero position. VI. CONTROL LAWS THAT GUARANTEE REGULATION TO ZERO To achieve regulation to zero, we are going to modif the control law () to make it proportional, not integral, control. To this end, we want to epress w in () through the time derivatives w t and w tt and then integrate () with respect to time. A. Control Laws First, let us calculate (integrating b parts twice) s(1, )w (, t)d ( = γ 1 w (1, t) γ 1 = Since z z s(1, )d = sinh s(1, ξ)dξ dz = (1 ) ) s(1, ξ)dξ dz u (, t)d, () ( ) ( ) c c sin. (5) s(1, ξ)dξ s(1, ξ)(ξ )dξ (6) 17
4 7th IEEE CDC, Cancun, Meico, Dec. 9-11, TuA7.1 and w = w tt, from () and () we get w t (1, t) = In a similar wa, we get r(1, )w t (, t)d γ 1 w (1, t) r(1, )w (, t)d w tt (, t) = (1 γ )w (1, t) γ = 1 w tt (, t) s(1, ξ)(ξ )dξ d γ 1 (1 )w tt (, t)d. (7) r(1, )d = cosh Substituting () into (1) gives w (1, t) = 1 s(1, )w t (, t)d γ (γ 1)(1 )w tt (, t)d r(1, ξ)(ξ )dξ d, () ( ) ( ) c c cos. (9) 1 (γ 1)(1 )w tt (, t)d γ 1 w tt (, t) γ r(1, ξ)(ξ )dξ d. Substituting (5) into (7), after simplifications we get w t (1, t) = (r(1, ) γs(1, )w t (, t)d w tt (, t) (5) (γr(1, ξ) s(1, ξ))(ξ )dξd γ(1 )w tt (, t)d, (51) γ = γ 1 γ = tanh ( ) c tan ( ) c. (5) The control gains in (51) involve a division b γ, which ma become zero for certain values of c. Therefore, c should satisf the condition c π (n 1), n =, 1,,..., (53) which is easil achievable because c is the designer s choice. We now integrate (51) with respect to time to get the controller w(1, t) = (r(1, ) γs(1, )w(, t)d w t (, t) (γr(1, ξ) s(1, ξ))(ξ )dξ d γ(1 )w t (, t)d, (5) the constant of integration is chosen to be zero since this choice ensures the regulation of w to zero. To see this, note from the transformation (), (3), and the boundar condition w (, t) = that w converges to a constant. Suppose w(, ) A, then passing to the limit t in (5) we get A = A (r(1, ) γs(1, )) d. (55) Computing the integral on the right hand side of (55), we obtain = A cosh(a) sin(a) cosh(a)cos(a), (56) a = c/. Note that cosh(a) sin(a) > 1 for all c >, and cos(a) due to the condition (53). Therefore, A =. The other controller (33) can also be represented in terms of w and w t as follows w (1, t) = B. Transformation s(1, )w t (, t)d c w(1, t) r (1, )w(, t)d. (57) To find out what the transformation from w to α is, we start with the definition (1) and note that { } Im {ψ(, t)} = Im v(, t) k(, )v(, t)d = w (, t) Substituting this into (1), we get α(, t) = w(, t) w(1, t) z z r(, )w (, t)d s(, )w t (, t)d. (5) r(z, ξ)w (ξ, t)dξdzd s(z, ξ)w t (ξ, t)dξdzd. (59) Integrating b parts the term with w, changing the order of integration in both integral terms, and using (5), we obtain the final form of the transformation: α(, t) = w(, t) (r(, ) cs(, ))w(, t)d [ w t (, t) S(1, ) γ(1 ) ] (s(1, ξ) γr(1, ξ))(ξ )dξ d (cs(1, ) γs(1, ))w(, t)d S(, )w t (, t)d, (6) 1
5 7th IEEE CDC, Cancun, Meico, Dec. 9-11, TuA7.1 S(, ) = ( ξ)s(ξ, )dξ. (61) Note that this integral transformation is not strict-feedback, it is of a mied Volterra/Fredholm tpe. VII. INVERSE TRANSFORMATION To prove stabilit of the closed-loop sstem through the stabilit of the target sstem, we need to derive the transformation which is inverse to (6). It is natural to assume that the inverse transformation has the same structure as the direct one, consisting of two Volterra and two Fredholm integrals of the state of the target sstem and its time derivative. Therefore, we look for it in the form w(, t) = α(, t) A(, )α(, t)d B(, )α t (, t)d C()α(, t)d D()α t (, t)d, (6) A, B, C, D are the gains to be determined. Differentiating (6) w.r.t. time and space (twice) and matching the result to the equations () and (3) and to the boundar conditions w (, t) = w (, t) =, one can show that (we omit these straightforward calculations) A(, ) = r(, ) cs(, ), (63) B(, ) = S(, ), C() = cd(), (6) and D() satisfies the ODE D () = c D() (65) D () = D(1) = D (1) =, D () = c, (66) which has the solution sinh(a)cos(a( )) cos(a)sinh(a( )) D() = a(cosh(a) sin(a) ) sin(a)cosh(a( )) cosh(a)sin(a( )) a(cosh(a) sin(a). ) Note that the eplicit form of the above transformation allows one to write the solution of the closed-loop sstem in closed form using the eplicit solution of the target sstem. VIII. MAIN RESULT The design procedure presented in previous sections makes it clear wh the sstem (1) () with the controllers (5), (57) is eponentiall stable. In this section we give the precise statement of well-posedness and stabilit of the closed-loop sstem. First, we define the state space H = { (f, g) H (, 1) L (, 1) f () =, f(1) = (r(1, ) γs(1, ))f()d γ g() (γr(1, ξ) s(1, ξ))(ξ )dξ d } (1 )g()d. (67) It is eas to check that [r(1, ) γs(1, )]d 1. Therefore, we can define the inner product induced norm of H as the energ of the sstem: (f, g) H = [ f () g() ] d (6) for all (f, g) H. The sstem (1) (), (5), (57) can be written as d dt (w(, t), w t(, t)) = A(w(, t), w t (, t)), (69) A(f, g) = (g, f () ), (f, g) D(A), (7) D(A) = {(f, g) H A(f, g) H, f () = f (1) = c f(1) 1 } [r (1, )f() s(1, )g()] d Net two lemmas establish the eistence and boundedness of A 1 and the eistence and uniqueness of a classical solution. The proofs are straightforward and we omit them. Lemma : Let A be defined b (7) and let the condition (53) hold. Then ρ(a), the resolvent set of A, is not empt. In fact, ρ(a). Lemma 3: Let A be defined b (7) and let the condition (53) hold. Then for an (w(, ), w t (, )) D(A) there eists a unique classical solution to (69). Now we are read to state the main result of the paper. Theorem : Let A be defined b (7) and let the condition (53) hold. Then: (i) A generates a C -semigroup on H. For an initial value (w(, ), w t (, )) H, there eists a unique (mild) solution to (69): (w(, t), w t (, t)) = e At (w(, ), w t (, )) C(, ; H), (ii) The sstem (69) is eponentiall stable at the origin: for an given ε >, there eists M ε >, which depends onl on ε, such that for all initial conditions (w(, ), w t (, )) H, E(t) M ε e (cε)t E() E(t) = 1 [wt (, t) w (, t)] d. (71) Proof. Statement (i) follows from Lemmas, 3 and Theorem 1.3 of [1] on p.1. Statement (ii) follows from the densit of D(A) in H and (), (3) and Theorem 1. 19
6 7th IEEE CDC, Cancun, Meico, Dec. 9-11, TuA7.1 1 Gains 5 5 displacement Fig.. Control gains for c = 9: from w() to w(1) (solid), from w t() to w(1) (dashed), from w() to w (1) (dash-dotted), from w t() to w (1) (thin solid). Fig t Open-loop response of the Euler-Bernoulli beam. IX. SIMULATION RESULTS The results of simulation of the Euler-Bernoulli beam with the controllers (5), (57) are presented in Figs.. In Fig. the control gains are shown for c = 9. In Fig. 3 we can see the oscillations of the uncontrolled beam. With control, the beam is quckl brought to the zero equilibrium (Fig. ). X. FUTURE WORK In future work there are two etensions of the result of the paper to pursue. First, one would like to control beams with other tpes of boundar conditions. From the design procedure presented in the paper it is clear that an etension to a hinged tpe of the uncontrolled end should not pose an difficulties. One would just change the tpe of the uncontrolled boundar condition in the Schrödinger equation from Neumann to Dirichlet. However, it is not clear how to eploit the connection of the Euler-Bernoulli beam with the Schrödinger equation in case of the beam with a free uncontrolled end, the most important case from practical point of view. One would also like to etend the results of the paper to the output-feedback case. For the Schrödinger equation, successful observer-based output-feedback design was developed in [6]. It seems that there are no conceptual obstacles in adapting this design to the Euler-Bernoulli beam. REFERENCES [1] G. Chen, M. C. Delfour, A. M. Krall, and G. Pare, Modeling, stabilization and control of seriall connected beam, SIAM J. Control & Optim., vol. 5, pp , 197. [] B. Z. Guo and R. Yu, The Riesz basis propert of discrete operators and application to an Euler-Bernoulli beam equation with boundar linear feedback control, IMA J. Math. Control Inform., vol. 1, pp. 1 51, 1. [3] B. Z. Guo, Riesz basis propert and eponential stabilit of controlled Euler-Bernoulli beam equations with variable coefficients, SIAM J.Control Optim., vol., pp ,. [] V. Komornik, Rapid boundar stabilization of linear distributed sstems, SIAM J.Control Optim., vol. 35, pp , [5] M. Krstic, A. Balogh, and A. Smshlaev, Backstepping boundar controller and observer for the undamped shear beam, 17th Int. Smposium on Mathematical Theor of Networks and Sstems, 6. [6] M. Krstic, B. Z. Guo, and A. Smshlaev, Boundar controllers and observers for Schrödinger equation, IEEE Conference on Decision and Control, 7. displacement Fig Closed-loop response of the Euler-Bernoulli beam. [7] M. Krstic, A. Smshlaev, and A. Siranosian, Backstepping boundar controllers and observers for the slender Timoshenko beam: Part I Design, American Control Conference, 6. [] M. Krstic, A. Siranosian, A. Smshlaev, and M. Bement, Backtepping boundar controllers and observers for the slender Timoshenko beam: Part II Stabilit and simulations, IEEE Conference on Decision and Control, 6. [9] I. Lasiecka and R. Triggiani, Eact Controllabilit of Semilinear Abstract Sstems with Application to Waves and Plates Boundar Control Problems, Appl. Math. Optim., vol. 3, pp , [1] K. S. Liu and Z. Liu, Eponential deca of energ of the Euler- Bernoulli beam with locall distributed Kelvin-Voigt damping, SIAM J. Control & Optim., vol. 36, pp , 199. [11] Z. H. Luo, B. Z. Guo, and O. Morgul, Stabilit and Stabilization of Infinite Dimensional Sstems with Applications, Springer-Verlag, London, [1] K. A. Morris, ed., Control of Fleible Structures, AMS, [13] E. Machtngier and E. Zuazua, Stabilization of the Schrödinger equation, Portugaliae Mathematica, vol. 51, pp. 3 56, 199. [1] A. Paz, Semigroups of Linear Operators and Applications to Partial Differential Equations, Springer-Verlag, Berlin, 193. [15] R. Rebarber, Spectral assignabilit for distributed parameter sstems with unbounded scalar control, SIAM J.Control & Optim., vol.7, pp , 199. [16] A. Smshlaev and M. Krstic, Closed form boundar state feedbacks for a class of 1D partial integro-differential equations, IEEE Trans. on Automatic Control, vol. 9, pp. 15,. [17] J. M. Urquiza, Rapid eponential feedback stabilization with unbounded control operators, SIAM J. Control Optim., vol. 3, pp. 33, 5. [1] C. Z. Xu and G. Sallet, On spectrum and Riesz basis assignment of infinite-dimensional linear sstems b bounded linear feedbacks, SIAM J.Control Optim., vol. 3, pp , t 3 19
Boundary Control of an Anti-Stable Wave Equation With Anti-Damping on the Uncontrolled Boundary
9 American Control Conference Hyatt Regency Riverfront, St. Louis, MO, USA June 1-1, 9 WeC5. Boundary Control of an Anti-Stable Wave Equation With Anti-Damping on the Uncontrolled Boundary Andrey Smyshlyaev
More informationIEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 58, NO. 5, MAY invertible, that is (1) In this way, on, and on, system (3) becomes
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 58, NO. 5, MAY 2013 1269 Sliding Mode and Active Disturbance Rejection Control to Stabilization of One-Dimensional Anti-Stable Wave Equations Subject to Disturbance
More informationExponential stabilization of a Rayleigh beam - actuator and feedback design
Exponential stabilization of a Rayleigh beam - actuator and feedback design George WEISS Department of Electrical and Electronic Engineering Imperial College London London SW7 AZ, UK G.Weiss@imperial.ac.uk
More informationc 2011 Society for Industrial and Applied Mathematics
SIAM J. CONTROL OPTIM. Vol. 49, No. 4, pp. 1479 1497 c 11 Society for Industrial and Applied Mathematics BOUNDARY CONTROLLERS AND OBSERVERS FOR THE LINEARIZED SCHRÖDINGER EQUATION MIROSLAV KRSTIC, BAO-ZHU
More informationMath 214 Spring problem set (a) Consider these two first order equations. (I) dy dx = x + 1 dy
Math 4 Spring 08 problem set. (a) Consider these two first order equations. (I) d d = + d (II) d = Below are four direction fields. Match the differential equations above to their direction fields. Provide
More informationIEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 49, NO. 12, DECEMBER
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 49, NO. 12, DECEMBER 2004 2185 Closed-Form Boundary State Feedbacks for a Class of 1-D Partial Integro-Differential Equations Andrey Smyshlyaev, Student Member,
More informationConservative Control Systems Described by the Schrödinger Equation
Conservative Control Systems Described by the Schrödinger Equation Salah E. Rebiai Abstract An important subclass of well-posed linear systems is formed by the conservative systems. A conservative system
More informationSecond-Order Linear Differential Equations C 2
C8 APPENDIX C Additional Topics in Differential Equations APPENDIX C. Second-Order Homogeneous Linear Equations Second-Order Linear Differential Equations Higher-Order Linear Differential Equations Application
More informationVOLTERRA BOUNDARY CONTROL LAWS FOR A CLASS OF NONLINEAR PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS. Rafael Vazquez and Miroslav Krstic
VOLTERRA BOUNDARY CONTROL LAWS FOR A CLASS OF NONLINEAR PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS Rafael Vazquez and Miroslav Krstic Dept. of Mechanical and Aerospace Engineering, University of California,
More informationEngineering Mathematics I
Engineering Mathematics I_ 017 Engineering Mathematics I 1. Introduction to Differential Equations Dr. Rami Zakaria Terminolog Differential Equation Ordinar Differential Equations Partial Differential
More informationLyapunov 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 informationIntroduction to Differential Equations. National Chiao Tung University Chun-Jen Tsai 9/14/2011
Introduction to Differential Equations National Chiao Tung Universit Chun-Jen Tsai 9/14/011 Differential Equations Definition: An equation containing the derivatives of one or more dependent variables,
More informationMotion Planning and Tracking for Tip Displacement and Deflection Angle for Flexible Beams
Antranik A. Siranosian e-mail: asiranosian@ucsd.edu Miroslav Krstic Andrey Smyshlyaev Department of Mechanical and Aerospace Engineering, University of California San Diego, La Jolla, CA 9293 Matt Bement
More informationNew approach to study the van der Pol equation for large damping
Electronic Journal of Qualitative Theor of Differential Equations 2018, No. 8, 1 10; https://doi.org/10.1422/ejqtde.2018.1.8 www.math.u-szeged.hu/ejqtde/ New approach to stud the van der Pol equation for
More informationControl and State Estimation of the One-Phase Stefan Problem via Backstepping Design
1 Control and State Estimation of the One-Phase Stefan Problem via Backstepping Design Shumon Koga, Student Member, IEEE, Mamadou Diagne, Member, IEEE, and Miroslav Krstic, Fellow, IEEE arxiv:173.5814v1
More informationSTABILIZATION OF EULER-BERNOULLI BEAM EQUATIONS WITH VARIABLE COEFFICIENTS UNDER DELAYED BOUNDARY OUTPUT FEEDBACK
Electronic Journal of Differential Equations, Vol. 25 (25), No. 75, pp. 4. ISSN: 72-669. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu STABILIZATION OF EULER-BERNOULLI
More information4.317 d 4 y. 4 dx d 2 y dy. 20. dt d 2 x. 21. y 3y 3y y y 6y 12y 8y y (4) y y y (4) 2y y 0. d 4 y 26.
38 CHAPTER 4 HIGHER-ORDER DIFFERENTIAL EQUATIONS sstems are also able, b means of their dsolve commands, to provide eplicit solutions of homogeneous linear constant-coefficient differential equations.
More informationOutput tracking control of a exible robot arm
Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 25 Seville, Spain, December 12-15, 25 WeB12.4 Output tracking control of a exible robot arm Tu Duc Nguyen
More informationNonlinear Control of the Viscous Burgers Equation: Trajectory Generation, Tracking, and Observer Design
Miroslav Krstic Professor Department of Mechanical & Aerospace Engineering, University of California, San Diego, La Jolla, CA 993-4 e-mail: krstic@ucsd.edu Lionel Magnis Ecole des Mines de Paris, 6 Boulevard
More informationFirst Order Equations
10 1 Linear and Semilinear Equations Chapter First Order Equations Contents 1 Linear and Semilinear Equations 9 Quasilinear Equations 19 3 Wave Equation 6 4 Sstems of Equations 31 1 Linear and Semilinear
More informationStrong Stabilization of the System of Linear Elasticity by a Dirichlet Boundary Feedback
To appear in IMA J. Appl. Math. Strong Stabilization of the System of Linear Elasticity by a Dirichlet Boundary Feedback Wei-Jiu Liu and Miroslav Krstić Department of AMES University of California at San
More informationResearch Article Chaotic Attractor Generation via a Simple Linear Time-Varying System
Discrete Dnamics in Nature and Societ Volume, Article ID 836, 8 pages doi:.//836 Research Article Chaotic Attractor Generation via a Simple Linear Time-Varing Sstem Baiu Ou and Desheng Liu Department of
More informationExplicit State and Output Feedback Boundary Controllers for Partial Differential Equations
JOURNAL OF AUTOMATIC CONTROL, UNIVERSITY OF BELGRADE; VOL. 13():1-9, 3 Explicit State and Output Feedback Boundary Controllers for Partial Differential Equations Andrey Smyshlyaev and Miroslav Krstic Abstract
More informationIntroduction to Differential Equations
Math0 Lecture # Introduction to Differential Equations Basic definitions Definition : (What is a DE?) A differential equation (DE) is an equation that involves some of the derivatives (or differentials)
More informationElliptic Equations. Chapter Definitions. Contents. 4.2 Properties of Laplace s and Poisson s Equations
5 4. Properties of Laplace s and Poisson s Equations Chapter 4 Elliptic Equations Contents. Neumann conditions the normal derivative, / = n u is prescribed on the boundar second BP. In this case we have
More informationRobust Fault Diagnosis of Uncertain One-dimensional Wave Equations
Robust Fault Diagnosis of Uncertain One-dimensional Wave Equations Satadru Dey 1 and Scott J. Moura Abstract Unlike its Ordinary Differential Equation ODE counterpart, fault diagnosis of Partial Differential
More informationExponential Stabilization of 1-d Wave Equation with Distributed Disturbance
Exponential Stabilization of 1-d Wave Equation with Distributed Disturbance QI HONG FU Tianjin University Department of Mathematics 9 Wei Jin Road, Tianjin, 37 CHINA fuqihong1@163.com GEN QI XU Tianjin
More informationStrong stabilization of the system of linear elasticity by a Dirichlet boundary feedback
IMA Journal of Applied Mathematics (2000) 65, 109 121 Strong stabilization of the system of linear elasticity by a Dirichlet boundary feedback WEI-JIU LIU AND MIROSLAV KRSTIĆ Department of AMES, University
More informationSection B. Ordinary Differential Equations & its Applications Maths II
Section B Ordinar Differential Equations & its Applications Maths II Basic Concepts and Ideas: A differential equation (D.E.) is an equation involving an unknown function (or dependent variable) of one
More informationLATERAL BUCKLING ANALYSIS OF ANGLED FRAMES WITH THIN-WALLED I-BEAMS
Journal of arine Science and J.-D. Technolog, Yau: ateral Vol. Buckling 17, No. Analsis 1, pp. 9-33 of Angled (009) Frames with Thin-Walled I-Beams 9 ATERA BUCKING ANAYSIS OF ANGED FRAES WITH THIN-WAED
More informationINTRODUCTION TO DIFFERENTIAL EQUATIONS
INTRODUCTION TO DIFFERENTIAL EQUATIONS. Definitions and Terminolog. Initial-Value Problems.3 Differential Equations as Mathematical Models CHAPTER IN REVIEW The words differential and equations certainl
More informationNonlinear Control of the Burgers PDE Part II: Observer Design, Trajectory Generation, and Tracking
8 American Control Conference Westin Seattle Hotel, Seattle, Washington, USA June -3, 8 ThC4.3 Nonlinear Control of the Burgers PDE Part II: Observer Design, Trajectory Generation, and Tracking Miroslav
More informationFIRST- AND SECOND-ORDER IVPS The problem given in (1) is also called an nth-order initial-value problem. For example, Solve: Solve:
.2 INITIAL-VALUE PROBLEMS 3.2 INITIAL-VALUE PROBLEMS REVIEW MATERIAL Normal form of a DE Solution of a DE Famil of solutions INTRODUCTION We are often interested in problems in which we seek a solution
More informationRoberto s Notes on Integral Calculus Chapter 3: Basics of differential equations Section 3. Separable ODE s
Roberto s Notes on Integral Calculus Chapter 3: Basics of differential equations Section 3 Separable ODE s What ou need to know alread: What an ODE is and how to solve an eponential ODE. What ou can learn
More informationSTABILIZATION OF ODE-SCHRÖDINGER CASCADED SYSTEMS SUBJECT TO BOUNDARY CONTROL MATCHED DISTURBANCE
Electronic Journal of Differential Equations, Vol. 215 (215), No. 248, pp. 1 22. ISSN: 172-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu STABILIZATION OF
More informationAdditional Topics in Differential Equations
0537_cop6.qd 0/8/08 :6 PM Page 3 6 Additional Topics in Differential Equations In Chapter 6, ou studied differential equations. In this chapter, ou will learn additional techniques for solving differential
More informationStability Of Structures: Continuous Models
5 Stabilit Of Structures: Continuous Models SEN 311 ecture 5 Slide 1 Objective SEN 311 - Structures This ecture covers continuous models for structural stabilit. Focus is on aiall loaded columns with various
More informationAircraft Structures Structural & Loading Discontinuities
Universit of Liège Aerospace & Mechanical Engineering Aircraft Structures Structural & Loading Discontinuities Ludovic Noels Computational & Multiscale Mechanics of Materials CM3 http://www.ltas-cm3.ulg.ac.be/
More informationFunctions of Several Variables
Chapter 1 Functions of Several Variables 1.1 Introduction A real valued function of n variables is a function f : R, where the domain is a subset of R n. So: for each ( 1,,..., n ) in, the value of f is
More informationContinuum backstepping control algorithms in partial differential equation orientation: a review
29 7 2012 7 : 1000 8152(2012)07 0825 08 Control Theory & Applications Vol. 29 No. 7 Jul. 2012, (, 100191) : (partial differential equations, PDEs), (distributed parameter systems, DPSs). Volterra,,,,.,,,.
More informationTrigonometric. equations. Topic: Periodic functions and applications. Simple trigonometric. equations. Equations using radians Further trigonometric
Trigonometric equations 6 sllabusref eferenceence Topic: Periodic functions and applications In this cha 6A 6B 6C 6D 6E chapter Simple trigonometric equations Equations using radians Further trigonometric
More informationLecture 4. Properties of Logarithmic Function (Contd ) y Log z tan constant x. It follows that
Lecture 4 Properties of Logarithmic Function (Contd ) Since, Logln iarg u Re Log ln( ) v Im Log tan constant It follows that u v, u v This shows that Re Logand Im Log are (i) continuous in C { :Re 0,Im
More informationOrdinary Differential Equations of First Order
CHAPTER 1 Ordinar Differential Equations of First Order 1.1 INTRODUCTION Differential equations pla an indispensable role in science technolog because man phsical laws relations can be described mathematicall
More informationVibrating Strings and Heat Flow
Vibrating Strings and Heat Flow Consider an infinite vibrating string Assume that the -ais is the equilibrium position of the string and that the tension in the string at rest in equilibrium is τ Let u(,
More informationAdditional Topics in Differential Equations
6 Additional Topics in Differential Equations 6. Eact First-Order Equations 6. Second-Order Homogeneous Linear Equations 6.3 Second-Order Nonhomogeneous Linear Equations 6.4 Series Solutions of Differential
More informationBoundary value problems for the elliptic sine Gordon equation in a semi strip
Boundary value problems for the elliptic sine Gordon equation in a semi strip Article Accepted Version Fokas, A. S., Lenells, J. and Pelloni, B. 3 Boundary value problems for the elliptic sine Gordon equation
More informationPerturbation theory of boundary value problems and approximate controllability of perturbed boundary control problems
Proceedings of the 47th IEEE Conference on Decision and Control Cancun, Mexico, Dec. 9-11, 28 TuC7.6 Perturbation theory of boundary value problems and approximate controllability of perturbed boundary
More informationControl of Vibrations
Control of Vibrations M. Vidyasagar Executive Vice President (Advanced Technology) Tata Consultancy Services Hyderabad, India sagar@atc.tcs.com www.atc.tcs.com/ sagar Outline Modelling Analysis Control
More informationSound Propagation in Ducts
Sound Propagation in Ducts Hongbin Ju Department of Mathematics Florida State Universit, Tallahassee, FL.3306 www.aeroacoustics.info Please send comments to: hju@math.fsu.edu In this section we will discuss
More informationASYMPTOTIC LIMITS AND STABILIZATION FOR THE 1D NONLINEAR MINDLIN-TIMOSHENKO SYSTEM
J Syst Sci Comple 1) 3: 1 17 ASYMPTOTIC LIMITS AND STABILIZATION FOR THE 1D NONLINEAR MINDLIN-TIMOSHENKO SYSTEM F. D. ARARUNA P. BRAZ E SILVA E. ZUAZUA DOI: Received: 1 December 9 / Revised: 3 February
More informationObservation and Control for Operator Semigroups
Birkhäuser Advanced Texts Basler Lehrbücher Observation and Control for Operator Semigroups Bearbeitet von Marius Tucsnak, George Weiss Approx. 496 p. 2009. Buch. xi, 483 S. Hardcover ISBN 978 3 7643 8993
More information554 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 55, NO. 2, FEBRUARY and such that /$ IEEE
554 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 55, NO. 2, FEBRUARY 2010 REFERENCES [1] M. Fliess, J. Levine, P. Martin, and P. Rouchon, Flatness and defect of nonlinear systems: Introductory theory and
More informationBoundary Observer for Output-Feedback Stabilization of Thermal-Fluid Convection Loop
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, VOL. 18, NO. 4, JULY 2010 789 Boundary Observer for Output-Feedback Stabilization of Thermal-Fluid Convection Loop Rafael Vazquez, Member, IEEE, and Miroslav
More informationTwo Dimensional Linear Systems of ODEs
34 CHAPTER 3 Two Dimensional Linear Sstems of ODEs A first-der, autonomous, homogeneous linear sstem of two ODEs has the fm x t ax + b, t cx + d where a, b, c, d are real constants The matrix fm is 31
More informationTensor products in Riesz space theory
Tensor products in Riesz space theor Jan van Waaij Master thesis defended on Jul 16, 2013 Thesis advisors dr. O.W. van Gaans dr. M.F.E. de Jeu Mathematical Institute, Universit of Leiden CONTENTS 2 Contents
More informationBasics Concepts and Ideas First Order Differential Equations. Dr. Omar R. Daoud
Basics Concepts and Ideas First Order Differential Equations Dr. Omar R. Daoud Differential Equations Man Phsical laws and relations appear mathematicall in the form of Differentia Equations The are one
More informationFuzzy Topology On Fuzzy Sets: Regularity and Separation Axioms
wwwaasrcorg/aasrj American Academic & Scholarl Research Journal Vol 4, No 2, March 212 Fuzz Topolog n Fuzz Sets: Regularit and Separation Aioms AKandil 1, S Saleh 2 and MM Yakout 3 1 Mathematics Department,
More informationNATIONAL UNIVERSITY OF SINGAPORE Department of Mathematics MA4247 Complex Analysis II Lecture Notes Part I
NATIONAL UNIVERSITY OF SINGAPORE Department of Mathematics MA4247 Comple Analsis II Lecture Notes Part I Chapter 1 Preliminar results/review of Comple Analsis I These are more detailed notes for the results
More informationCOMPACT IMPLICIT INTEGRATION FACTOR METHODS FOR A FAMILY OF SEMILINEAR FOURTH-ORDER PARABOLIC EQUATIONS. Lili Ju. Xinfeng Liu.
DISCRETE AND CONTINUOUS doi:13934/dcdsb214191667 DYNAMICAL SYSTEMS SERIES B Volume 19, Number 6, August 214 pp 1667 1687 COMPACT IMPLICIT INTEGRATION FACTOR METHODS FOR A FAMILY OF SEMILINEAR FOURTH-ORDER
More informationSTATICS. Equivalent Systems of Forces. Vector Mechanics for Engineers: Statics VECTOR MECHANICS FOR ENGINEERS: Contents & Objectives.
3 Rigid CHATER VECTOR ECHANICS FOR ENGINEERS: STATICS Ferdinand. Beer E. Russell Johnston, Jr. Lecture Notes: J. Walt Oler Teas Tech Universit Bodies: Equivalent Sstems of Forces Contents & Objectives
More informationDiscontinuous Galerkin method for a class of elliptic multi-scale problems
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS Int. J. Numer. Meth. Fluids 000; 00: 6 [Version: 00/09/8 v.0] Discontinuous Galerkin method for a class of elliptic multi-scale problems Ling Yuan
More informationOrdinary Differential Equations
58229_CH0_00_03.indd Page 6/6/6 2:48 PM F-007 /202/JB0027/work/indd & Bartlett Learning LLC, an Ascend Learning Compan.. PART Ordinar Differential Equations. Introduction to Differential Equations 2. First-Order
More informationContents: V.1 Ordinary Differential Equations - Basics
Chapter V ODE V. ODE Basics V. First Order Ordinar Differential Equations September 4, 7 35 CHAPTER V ORDINARY DIFFERENTIAL EQUATIONS Contents: V. Ordinar Differential Equations - Basics V. st Order Ordinar
More informationPICONE S IDENTITY FOR A SYSTEM OF FIRST-ORDER NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS
Electronic Journal of Differential Equations, Vol. 2013 (2013), No. 143, pp. 1 7. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu PICONE S IDENTITY
More informationParticular Solutions
Particular Solutions Our eamples so far in this section have involved some constant of integration, K. We now move on to see particular solutions, where we know some boundar conditions and we substitute
More informationIntroduction to Differential Equations
Introduction to Differential Equations. Definitions and Terminolog.2 Initial-Value Problems.3 Differential Equations as Mathematical Models Chapter in Review The words differential and equations certainl
More informationAbstract In this paper, we consider bang-bang property for a kind of timevarying. time optimal control problem of null controllable heat equation.
JOTA manuscript No. (will be inserted by the editor) The Bang-Bang Property of Time-Varying Optimal Time Control for Null Controllable Heat Equation Dong-Hui Yang Bao-Zhu Guo Weihua Gui Chunhua Yang Received:
More informationAdaptive boundary control for unstable parabolic PDEs Part III: Output feedback examples with swapping identifiers
Automatica 43 (27) 1557 1564 www.elsevier.com/locate/automatica Brief paper Adaptive boundary control for unstable parabolic PDEs Part III: Output feedback examples with swapping identifiers Andrey Smyshlyaev,
More informationSPS Mathematical Methods
SPS 2281 - Mathematical Methods Assignment No. 2 Deadline: 11th March 2015, before 4:45 p.m. INSTRUCTIONS: Answer the following questions. Check our answer for odd number questions at the back of the tetbook.
More informationStability of an abstract wave equation with delay and a Kelvin Voigt damping
Stability of an abstract wave equation with delay and a Kelvin Voigt damping University of Monastir/UPSAY/LMV-UVSQ Joint work with Serge Nicaise and Cristina Pignotti Outline 1 Problem The idea Stability
More informationNST1A: Mathematics II (Course A) End of Course Summary, Lent 2011
General notes Proofs NT1A: Mathematics II (Course A) End of Course ummar, Lent 011 tuart Dalziel (011) s.dalziel@damtp.cam.ac.uk This course is not about proofs, but rather about using different techniques.
More informationChapter One. Introduction 1.1 PARABOLIC AND HYPERBOLIC PDE SYSTEMS
Chapter One Introduction 1.1 PARABOLIC AND HYPERBOLIC PDE SYSTEMS This book investigates problems in control of partial differential equations (PDEs) with unknown parameters. Control of PDEs alone (with
More information* τσ σκ. Supporting Text. A. Stability Analysis of System 2
Supporting Tet A. Stabilit Analsis of Sstem In this Appendi, we stud the stabilit of the equilibria of sstem. If we redefine the sstem as, T when -, then there are at most three equilibria: E,, E κ -,,
More information67. (a) Use a computer algebra system to find the partial fraction CAS. 68. (a) Find the partial fraction decomposition of the function CAS
SECTION 7.5 STRATEGY FOR INTEGRATION 483 6. 2 sin 2 2 cos CAS 67. (a) Use a computer algebra sstem to find the partial fraction decomposition of the function 62 63 Find the area of the region under the
More informationBilinear spatial control of the velocity term in a Kirchhoff plate equation
Electronic Journal of Differential Equations, Vol. 1(1), No. 7, pp. 1 15. ISSN: 17-6691. URL: http://ejde.math.swt.edu or http://ejde.math.unt.edu ftp ejde.math.swt.edu (login: ftp) Bilinear spatial control
More informationAnalytic Solutions of Partial Differential Equations
ii Analtic Solutions of Partial Differential Equations 15 credits Taught Semester 1, Year running 3/4 MATH3414 School of Mathematics, Universit of Lee Pre-requisites MATH36 or MATH4 or equivalent. Co-requisites
More informationTIMOSHENKO S BEAM EQUATION AS A LIMIT OF A NONLINEAR ONE-DIMENSIONAL VON KÁRMÁN SYSTEM
TIMOSHENKO S BEAM EQUATION AS A LIMIT OF A NONLINEAR ONE-DIMENSIONAL VON KÁRMÁN SYSTEM G. PERLA MENZALA National Laboratory of Scientific Computation, LNCC/CNPq, Rua Getulio Vargas 333, Quitandinha, Petrópolis,
More informationSimultaneous boundary control of a Rao-Nakra sandwich beam
Simultaneous boundary control of a Rao-Nakra sandwich beam Scott W. Hansen and Rajeev Rajaram Abstract We consider the problem of boundary control of a system of three coupled partial differential equations
More informationENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 3 Solutions [Multiple Integration; Lines of Force]
ENGI 44 Advanced Calculus for Engineering Facult of Engineering and Applied Science Problem Set Solutions [Multiple Integration; Lines of Force]. Evaluate D da over the triangular region D that is bounded
More informationReduced-order Model Based on H -Balancing for Infinite-Dimensional Systems
Applied Mathematical Sciences, Vol. 7, 2013, no. 9, 405-418 Reduced-order Model Based on H -Balancing for Infinite-Dimensional Systems Fatmawati Department of Mathematics Faculty of Science and Technology,
More informationStability of Linear Distributed Parameter Systems with Time-Delays
Stability of Linear Distributed Parameter Systems with Time-Delays Emilia FRIDMAN* *Electrical Engineering, Tel Aviv University, Israel joint with Yury Orlov (CICESE Research Center, Ensenada, Mexico)
More informationEigenvalues of Trusses and Beams Using the Accurate Element Method
Eigenvalues of russes and Beams Using the Accurate Element Method Maty Blumenfeld Department of Strength of Materials Universitatea Politehnica Bucharest, Romania Paul Cizmas Department of Aerospace Engineering
More informationNonlinear Systems Examples Sheet: Solutions
Nonlinear Sstems Eamples Sheet: Solutions Mark Cannon, Michaelmas Term 7 Equilibrium points. (a). Solving ẋ =sin 4 3 =for gives =as an equilibrium point. This is the onl equilibrium because there is onl
More informationApplications of Gauss-Radau and Gauss-Lobatto Numerical Integrations Over a Four Node Quadrilateral Finite Element
Avaiable online at www.banglaol.info angladesh J. Sci. Ind. Res. (), 77-86, 008 ANGLADESH JOURNAL OF SCIENTIFIC AND INDUSTRIAL RESEARCH CSIR E-mail: bsir07gmail.com Abstract Applications of Gauss-Radau
More informationNonlinear stabilization via a linear observability
via a linear observability Kaïs Ammari Department of Mathematics University of Monastir Joint work with Fathia Alabau-Boussouira Collocated feedback stabilization Outline 1 Introduction and main result
More informationOPTIMAL CONTROL FOR A PARABOLIC SYSTEM MODELLING CHEMOTAXIS
Trends in Mathematics Information Center for Mathematical Sciences Volume 6, Number 1, June, 23, Pages 45 49 OPTIMAL CONTROL FOR A PARABOLIC SYSTEM MODELLING CHEMOTAXIS SANG UK RYU Abstract. We stud the
More informationObserver Design for a Flexible Robot Arm with a Tip Load
5 American Control Conference June 8-, 5. Portland, OR, USA WeC7.6 Observer Design for a Flexible Robot Arm with a Tip Load Tu Duc Nguyen and Olav Egeland Abstract In this paper, we consider the observer
More informationSINCE the 1959 publication of Otto J. M. Smith s Smith
IEEE TRANSACTIONS ON AUTOMATIC CONTROL 287 Input Delay Compensation for Forward Complete and Strict-Feedforward Nonlinear Systems Miroslav Krstic, Fellow, IEEE Abstract We present an approach for compensating
More informationOPTIMAL CONTROL OF A CLASS OF PARABOLIC
OPTIMAL CONTROL OF A CLASS OF PARABOLIC TIME-VARYING PDES James Ng a, Ilyasse Aksikas a,b, Stevan Dubljevic a a Department of Chemical & Materials Engineering, University of Alberta, Canada b Department
More informationPart D. Complex Analysis
Part D. Comple Analsis Chapter 3. Comple Numbers and Functions. Man engineering problems ma be treated and solved b using comple numbers and comple functions. First, comple numbers and the comple plane
More informationSolving Variable-Coefficient Fourth-Order ODEs with Polynomial Nonlinearity by Symmetric Homotopy Method
Applied and Computational Mathematics 218; 7(2): 58-7 http://www.sciencepublishinggroup.com/j/acm doi: 1.11648/j.acm.21872.14 ISSN: 2328-565 (Print); ISSN: 2328-5613 (Online) Solving Variable-Coefficient
More informationSystems & Control Letters
Systes & Control Letters 6 (3) 53 5 Contents lists available at SciVerse ScienceDirect Systes & Control Letters journal hoepage: www.elsevier.co/locate/sysconle Stabilization of an ODE Schrödinger Cascade
More informationTwo-sided Mullins-Sekerka flow does not preserve convexity
Differential Equations and Computational Simulations III J. Graef, R. Shivaji, B. Soni, & J. Zhu (Editors) Electronic Journal of Differential Equations, Conference 01, 1997, pp. 171 179. ISSN: 1072-6691.
More informationStabilization and Controllability for the Transmission Wave Equation
1900 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 46, NO. 12, DECEMBER 2001 Stabilization Controllability for the Transmission Wave Equation Weijiu Liu Abstract In this paper, we address the problem of
More informationComputation of Csiszár s Mutual Information of Order α
Computation of Csiszár s Mutual Information of Order Damianos Karakos, Sanjeev Khudanpur and Care E. Priebe Department of Electrical and Computer Engineering and Center for Language and Speech Processing
More informationGreen s Theorem Jeremy Orloff
Green s Theorem Jerem Orloff Line integrals and Green s theorem. Vector Fields Vector notation. In 8.4 we will mostl use the notation (v) = (a, b) for vectors. The other common notation (v) = ai + bj runs
More informationEIGENVALUES AND EIGENVECTORS OF SEMIGROUP GENERATORS OBTAINED FROM DIAGONAL GENERATORS BY FEEDBACK
COMMUNICATIONS IN INFORMATION AND SYSTEMS c 211 International Press Vol. 11, No. 1, pp. 71-14, 211 5 EIGENVALUES AND EIGENVECTORS OF SEMIGROUP GENERATORS OBTAINED FROM DIAGONAL GENERATORS BY FEEDBACK CHENG-ZHONG
More informationSurvey of Wave Types and Characteristics
Seminar: Vibrations and Structure-Borne Sound in Civil Engineering Theor and Applications Surve of Wave Tpes and Characteristics Xiuu Gao April 1 st, 2006 Abstract Mechanical waves are waves which propagate
More informationChapter 6 2D Elements Plate Elements
Institute of Structural Engineering Page 1 Chapter 6 2D Elements Plate Elements Method of Finite Elements I Institute of Structural Engineering Page 2 Continuum Elements Plane Stress Plane Strain Toda
More informationA max-plus based fundamental solution for a class of infinite dimensional Riccati equations
A max-plus based fundamental solution for a class of infinite dimensional Riccati equations Peter M Dower and William M McEneaney Abstract A new fundamental solution for a specific class of infinite dimensional
More information