Boundary Control of an Anti-Stable Wave Equation With Anti-Damping on the Uncontrolled Boundary
|
|
- Hilda Powell
- 5 years ago
- Views:
Transcription
1 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 Miroslav Krstic Abstract Much of the boundary control of wave equations in 1D is based on a single principle passivity under the assumption that control is applied through Neumann actuation on one boundary the other boundary satisfies a homogeneous Dirichlet boundary condition. We have recently eped the scope of tractable problems by allowing destabilizing antistiffness (a Robin type condition) on the uncontrolled boundary, where the uncontrolled system has a finite number of positive real eigenvalues. In this paper we go much further develop a methodology for the case where the uncontrolled boundary condition has anti-damping, which makes the real parts of all the eigenvalues of the uncontrolled system positive arbitrarily high, i.e., the plant is anti-stable (eponentially stable in negative time). Using a conceptually novel integral transformation, we obtain etremely simple, eplicit formulae for the gain functions. For the case with only boundary sensing available (at the same end with actuation), we design backstepping observers which are dual to the backstepping controllers have eplicit output injection gains. We then combine the control observer designs into an outputfeedback compensator prove eponential stability of the closed-loop system. I. INTRODUCTION We consider the problem of stabilization of a onedimensional wave equation which is controlled from one end contains instability at the other (free) end (see [1], [], [4], [7] for classical passivity-based designs for wave equations). The nature of instability (negative damping) is such that all of the open-loop eigenvalues are located on the right h side of the comple plane, thus the plant is not just unstable, it is anti-stable. Our control design is based on the method of backstepping [6], [5], [3], which results in eplicit formulae for the gain functions. In a recent paper [3], backstepping method was used to design controllers observers for an unstable wave equation with destabilizing boundary condition at the free end. However, in that paper the destabilizing term was proportional to displacement, while in this paper it is proportional to velocity, in the form of anti-damper, which results in all eigenvalues being unstable instead of just a few. The concept of a boundary anti-damper is not of huge physical relevance, however, the design that we develop for this anti-stable system is a methodological breakthrough in boundary control of wave equations. For the case when only boundary sensing is available (at the same end with actuation), we design backstepping observers which are dual to the backstepping controllers Andrey Smyshlyaev Miroslav Krstic are with the Department of Mechanical Aerospace Engineering, University of California at San Diego, La Jolla, CA 993, USA krstic@ucsd.edu asmyshly@ucsd.edu have eplicit output injection gains. Both setups are considered: Neumann actuation/dirichlet sensing Dirichlet actuation/neumann sensing. We then combine the control observer designs into dynamic compensators prove eponential stability of the closed-loop system. We consider the plant II. PROBLEM FORMULATION u tt (, t) = u (, t) (1) u (, t) = qu t (, t) () u (1, t) = U(t), (3) where U(t) is the control input q is a constant parameter. For q =, equations (1) (3) model a string which is free at the end = is actuated on the opposite end. For q < the system (1) (3) is stabilized trivially with the feedback law U = au(1, t), a >. In this paper we assume q >, so that the free end of the string is negatively damped, with all eigenvalues located on the right h side of the comple plane (hence the open-loop plant is anti-stable ). We also assume q 1, since for q = 1 the plant is uncontrollable. The objective is to eponentially stabilize the system (1) (3) around the zero equilibrium. The case of Dirichlet actuation is considered in Section VI. III. CONTROL DESIGN Consider the transformation w(, t) = u(, t) k(, y)u(y, t)dy s(, y)u t (y, t)dy m(, y)u (y, t)dy, (4) where the gains k(, y), s(, y), m(, y) are to be determined. We want to map the plant (1) (3) into the following target system w tt (, t) = w (, t) (5) w (, t) = cw t (, t) (6) w (1, t) = c w(1, t), (7) which is eponentially stable for c > c > (see, e.g., [3]). We also assume c 1. As will be shown later, the transformation (4) is invertible in a certain norm, so that stability of the target system ensures stability of the closedloop system /9/$5. 9 AACC 1511
2 Compared with the backstepping transformations for parabolic PDEs, there are two additional terms in (4) the second the third integrals in (4). The term with u t is natural because hyperbolic systems are second order in time therefore the state variable is (u, u t ) instead of just u. The need for the term with u is less obvious it is in fact the main conceptual novelty of the paper. Substituting (4) into (5) (7) we obtain w tt (, t) = w (, t) u(, t) d k(, ) d u t (, t) d d s(, ) u (, t) d m(, ) d (k (, y) k yy (, y))u(y, t)dy (s (, y) s yy (, y))u t (y, t)dy (m (, y) m yy (, y))u (y, t)dy k y (, )u(, t) [qm y (, ) s y (, ) qk(, )]u t (, t) [m(, ) qs(, )]u (, t). (8) Matching all the terms we get the following PDE for k(, y): k (, y) = k yy (, y), (9) k y (, ) =, (1) d k(, ) =, d (11) two coupled PDEs for s(, y) m(, y): s (, y) = s yy (, y), (1) s y (, ) = qm y (, ) qk(, ), (13) d s(, ) =, d (14) m (, y) = m yy (, y), (15) m(, ) = qs(, ), (16) d m(, ) =. d (17) Substituting (4) into the boundary condition (6) we get = w (, t) cw t (, t) = [qm(, ) s(, ) q c]u t (, t) k(, )u(, t), (18) which gives two more conditions: k(, ) =, (19) qm(, ) = s(, ) q c. () The solution to (9) (11), (19) is simply k(, y). This is a consequence of not changing stiffness of the system (i.e., if we were to add the term proportional to w(, t) to the boundary condition at =, the gain k(, y) would not be zero). To solve the PDEs for s m, we note that a general solution to (1) (14) is s(, y) = φ( y) similarly for (15), (17) we have m(, y) = ψ( y) for arbitrary functions φ ψ. Using (13) (16) we obtain φ () = qψ (), (1) ψ() = qφ(). () Integrating (1) from to using (), we obtain (q )(φ() φ()) =. (3) Since q 1, we get that both φ() ψ() are constant functions of. Finally, using the relationship () together with (), we get s(, y) q c q, (4) q(q c) m(, y) q. (5) The transformation (4) can therefore be written in one of the two forms, either as or as q(q c) w(, t) = u(, t) q u (y, t)dy q c q u t (y, t)dy, (6) w(, t) = qc q(q c) q u(, t) q u(, t) q c q u t (y, t)dy. (7) Differentiating (7) with respect to, setting = 1, using the boundary condition (7), we obtain the following controller U(t) = c q(q c) u(, t) c u(1, t) 1 qc q c 1 qc u t(1, t) c (q c) 1 qc u t (y, t)dy. (8) Our main result on stabilization is given by the following theorem. Theorem 1. For any initial data (u(, ), u t (, )) H = H (, 1) H 1 (, 1), compatible with the boundary conditions, closed-loop system (1) (3), (8) has a unique classical solution (u, u t ) C 1 ([, ), H), which is eponentially stable in the sense of the norm ( ) 1/ u (, t) d u t (, t) d u(1, t). (9) Proof. First, let us establish stability of the target system. With the Lyapunov function V 1 (t) = 1 δ w (, t) d 1 w t (, t) d c w(1, t) ( )w (, t)w t (, t)d, (3) 151
3 where δ is sufficiently small (so that V 1 is positive definite), we obtain V 1 = δ (w (, t) w t (, t) )d [ c δ(1 c ) ] w t (, t) δ [ wt (1, t) c w(1, t) ] ωv 1, (31) where ω >. Since there eist a 1 >, a > such that where V (t) = we obtain a 1 V V 1 a V, (3) w (, t) d w t (, t) d w(1, t), (33) V (t) a a 1 e ωt V (). (34) Let us differentiate the transformation (7) with respect to t. We get w t (, t) = qc q u t(, t) q c q u (, t), (35) w (, t) = qc q u (, t) q c q u t(, t). (36) From (35) (36) it easily follows that (w (, t) w t (, t) )d (c 1) (q ) (u (, t) u t (, t) )d. (37) Using the transformation (6) with = 1, we get w(1, t) u(1, t) 4(q c) (q ) From (37) (38) we obtain where V 3 (t) = (u (, t) u t (, t) )d. (38) V 4 (q c) (c 1) (q ) V 3, (39) u (, t) d u t (, t) d u(1, t). (4) One can easily show that the inverse transformation to (35) (36) is u t (, t) = qc c w t(, t) q c c w (, t), (41) u (, t) = qc c w (, t) q c c w t(, t). (4) Setting = 1 in (6) using (41), (4) to epress u(1, t) in terms of w(1, t), w t, w, we obtain V 3 4 (q c) (q 1) (c ) V. (43) From (34), (39), (43) one gets V 3 (t) 16a (q c) (c 1) a 1 (c ) (q ) (q c) (q 1) (c ) (q ) e ωt V 3 (). (44) The eistence uniqueness of the solution follow by stard arguments as in [3]. First, the abstract operator describing the system is introduced, it is dissipative due to estimates above; then it is shown that it has a bounded inverse; the result follows from Lumer-Phillips theorem. IV. OBSERVER DESIGN In this section, we design an observer for the plant (1) (3) when only boundary measurements are available. We assume that displacement velocity at the end = 1 are measured (i.e., u(1, t) u t (1, t)). Since we epect this observer to be dual to the controller designed in the previous section, it is natural to assume that the observer gains are also constant. We propose the following observer û tt (, t) = û (, t) p 1 [u(1, t) û(1, t)] p [u t (1, t) û t (1, t)] (45) û (, t) = qû t (, t) p 3 [u(1, t) û(1, t)] p 4 [u t (1, t) û t (1, t)] (46) û (1, t) = U(t) p 5 [u(1, t) û(1, t)] p 6 [u t (1, t) û t (1, t)]. (47) The observer error ũ = u û satisfies ũ tt (, t) = ũ (, t) p 1 ũ(1, t) p ũ t (1, t) (48) ũ (, t) = qũ t (, t) p 3 ũ(1, t) p 4 ũ t (1, t) (49) ũ (1, t) = p 5 ũ(1, t) p 6 ũ t (1, t). (5) Consider the transformation ũ(, t) = w(, t) α w(y, t)dy β w t (y, t)dy γ w (y, t)dy. (51) Note that unlike in the control transformation (6), here the integrals run from to 1. This is because the input the output are collocated. We map the observer error system into the system w tt (, t) = w (, t) (5) w (, t) = c w t (, t) (53) w (1, t) = c w(1, t), (54) which is eponentially stable for c >, c 1 c >. 1513
4 First, we differentiate the transformation (51) twice w.r.t. time (note that ũ(1, t) = w(1, t)), ũ tt (, t) = ũ (, t) α w (1, t) β w t (1, t) γ w tt (1, t) = ũ (, t) αc ũ(1, t) βc ũ t (1, t) γũ tt (1, t). (55) Comparing the above with (48) we get γ =, p 1 = αc, p = βc. From (5) we get ũ (1, t) = w (1, t) α w(1, t) β w t (1, t) = (c α)ũ(1, t) βũ t (1, t), (56) which gives p 5 = c α, p 6 = β. Then, from (49) ũ (, t) qũ(, t) = αw(, t) qα w t (y, t)dy w t (, t)[ c β q qβ c] qβc ũ(1, t) (57) therefore p 3 = qβc, p 4 =, α =, c q = β(1 q c). Finally, we get the following observer û tt (, t) = û (, t) c (q c) 1 q c [u t(1, t) û t (1, t)] (58) û (, t) = qû t (, t) c q(q c) [u(1, t) û(1, t)] (59) 1 q c û (1, t) = U(t) c [u(1, t) û(1, t)] q c 1 q c [u t(1, t) û t (1, t)]. (6) the transformation is ũ(, t) = w(, t) q c 1 q c w t (y, t)dy. (61) Note the duality of 4 observer gains in (58) (6) to 4 control gains in (8) (for c = c), even though the control observer transformations are different. Theorem. For any initial data (ũ(, ), ũ t (, )) H = H (, 1) H 1 (, 1) compatible with the boundary conditions, the observer error system (48) (5) has a unique classical solution (ũ, ũ t ) C 1 ([, ), H), which is eponentially stable in the sense of the norm ( )1/ ũ (, t) d ũ t (, t) d ũ(1, t). (6) Proof. With the Lyapunov function V 4 = 1 w (, t) d 1 w t (, t) d c w(1, t) δ ( ) w (, t) w t (, t)d, (63) where δ is sufficiently small, eactly the same calculation as in (31) shows that where ω >. V 4 ωv 4, (64) Differentiating the transformation (61) we get ũ (, t) = w (, t) q c 1 q c w t(, t), (65) ũ t (, t) = w t (, t) q c 1 q c w (, t) c (q c) w(1, t). 1 q c (66) Note also that ũ(1, t) = w(1, t). Therefore, ũ ũ t ũ(1) M 6 ( w w t w(1) ), (67) where M 6 = 3 3 ma{c, 1}(q c) /(1 q c). The inverse to (65), (66) is w (, t) = (1 q c) ũ (, t) (q c)(1 q c)ũ t (, t) (q )(c ) c (q c) (q )(c t) (68) )ũ(1, w t (, t) = (1 q c) ũ t (, t) (q c)(1 q c)ũ (, t) (q )(c ) c (q c)(1 q c) (q )(c ũ(1, t). (69) ) Therefore, w w t w(1) ) M 7 ( ũ ũ t ũ(1) ), (7) where M 7 = 3 ma{c, 1}((q c) (1 q c) ) (q 1) ( c ). From (64), (67), (7) we get that the norm (6) decays eponentially. The eistence uniqueness of the solution of the observer error system are obtained as in the proof of Theorem 1. V. OUTPUT FEEDBACK In this section we combine the controller the observer designed in previous two sections to solve the outputfeedback problem. Theorem 3. Consider the plant (1) (3) with the observer (58) (6) the controller U(t) = c q(q c) û(, t) c u(1, t) 1 qc q c 1 qc u t(1, t) c (q c) 1 qc û t (y, t)dy. (71) For any initial data (u(, ), u t (, ), û(, ), û t (, )) H = H (, 1) H 1 (, 1) H (, 1) H 1 (, 1) compatible with the boundary conditions, the closed-loop system has a unique classical solution (u, u t, û, û t ) C 1 ([, ); H), which is eponentially stable in the sense of the norm ( u (t) u t (t) u(1, t) û (t) û t (t) û(1, t) ) 1/. (7) Proof. Consider two transformations: (61) ŵ(, t) = qc q(q c) q t) û(, q û(, t) q c q û t (y, t)dy. (73) 1514
5 It is straightforward to show that these transformations along with the control law (71) map the system (û, ũ) into (ŵ, w)- system, where w part is given by (5) (54) ŵ satisfies the following PDE: ŵ tt (, t) = ŵ (, t) A(q w t (1, t) w tt (1, t)) (74) q(1 qc) ŵ (, t) = cŵ t (, t) A w(1, t) (75) q c ŵ (1, t) = c ŵ(1, t) c c 1 q c w t(1, t), (76) where A = c (q c)(q c) (q )(1 q c). (77) Note that the PDE (74) (76) contains the terms proportional to w t (1, t) w tt (1, t), which are in H H 3 respectively, while our Lyapunov functions used in control observer designs are H 1 norms. To overcome this difficulty, we introduce a new variable w(, t) = ŵ(, t) A w(1, t), which eliminates the term w tt (1, t). The remaining w t (1, t)- terms are hled using the term w t (1, t) in V 4, which was simply discarded in the estimate (64) (see (31)). The variable w(, t) satisfies the following PDE: w tt (, t) = w (, t) Aq w t (1, t) (78) w (, t) = c w t (, t) c c(q c) w(1, t) (1 q c) (79) w (1, t) = c w(1, t) c c 1 q c w t(1, t) Using the Lyapunov function V 5 = 1 (c 1)A w(1, t). (8) w (, t) d 1 w t (, t) d c w(1, t) δ 1 ( ) w (, t) w t (, t)d KV 4 (81) one can show that for large enough K small enough δ 1 δ V5 ω 1 V 5 α w t (1, t), ω 1 >, α >. (8) Going back to the old variable ŵ, using (8) we obtain eponential stability in ( w, ŵ) variables. From the transformations (61) (73) their inverses we obtain ep. stability in (ũ, û) variables, therefore in (u, û) variables. The eistence uniqueness of the solutions is proved as in Theorem 1. VI. DIRICHLET ACTUATION AND NEUMANN SENSING In this section we use the control observer transformations derived in Sections III IV to design the controller the observer for the case of Dirichlet actuation Neumann sensing. Consider the plant u tt (, t) = u (, t) (83) u (, t) = qu t (, t) (84) u(1, t) = U(t). (85) Using the transformation (7), we map this plant into the target system w tt (, t) = w (, t) (86) w (, t) = cw t (, t) (87) w(1, t) =, (88) which is eponentially stable for c >, c 1. The controller is obtained by setting = 1 in (7): U(t) = q(q c) q c u(, t) 1 qc 1 qc u t (y, t)dy. (89) Theorem 4. For any initial data (u(, ), u t (, )) H = H (, 1) H 1 (, 1) compatible with the boundary conditions, the closed-loop system (83) (85), (89) has a unique classical solution (u, u t ) C 1 ([, ), H), which is eponentially stable in the sense of the norm ( u (t) u t (t) ) 1/. (9) Proof. Starting with the Lyapunov function V 6 (t) = 1 δ w (, t) d 1 where δ is sufficiently small, we obtain V 6 = δ w t (, t) d ( )w (, t)w t (, t)d, (91) (w (, t) w t (, t) )d [ c δ(1 c ) ] w t (, t) δ w (1, t) ωv 6, ω > (9) The rest of the proof is very similar to the proof of Theorem 1. When only measurements of u (1, t) u t (1, t) are available, we design the observer û tt (, t) = û (, t) p 1 [u (1, t) û (1, t)] p [u t (1, t) û t (1, t)] (93) û (, t) = qû t (, t) p 3 [u (1, t) û (1, t)] p 4 [u t (1, t) û t (1, t)] (94) û(1, t) = U(t), (95) where p 1, p, p 3, p 4 are constants to be chosen. The observer error system is ũ tt (, t) = ũ (, t) p 1 ũ (1, t) p ũ t (1, t) (96) ũ (, t) = qũ t (, t) p 3 ũ (1, t) p 4 ũ t (1, t) (97) ũ(1, t) =. (98) We use the observer transformation (61), derived for the case of the Dirichlet sensing to map the observer error system into the following system: w tt (, t) = w (, t) (99) w (, t) = c w t (, t) (1) w(1, t) =. (11) 1515
6 Substituting (61) into (96) (98), we get the following conditions: p 1 = p =, p 3 (1 q c) = q(q c), p 4 (1 q c) = q c. Therefore, the observer is û tt (, t) = û (, t) q c 1 q c [u t(1, t) û t (1, t)] (1) û (, t) = qû t (, t) q(q c) 1 q c [u (1, t) û (1, t)] (13) û(1, t) = U(t). (14) Note the duality of two observer gains in (1), (13) to the two control gains in (89) (for c = c). Theorem 5. Consider the plant (83) (85) with the observer (1) (14) the controller U(t) = q(q c) q c û(, t) 1 qc 1 qc û t (y, t)dy. (15) For any initial data (u(, ), u t (, ), û(, ), û t (, )) H = H (, 1) H 1 (, 1) H (, 1) H 1 (, 1) compatible with the boundary conditions, the closed-loop system has a unique classical solution (u, u t, û, û t ) C 1 ([, ); H), which is eponentially stable in the sense of the norm ( u (t) u t (t) û (t) û t (t) u (t) û (t) u t (t) û t (t) ) 1/. (16) Proof. The transformations (61) ŵ(, t) = qc q(q c) q t) û(, q û(, t) q c q û t (y, t)dy (17) map (96) (98), (1) (14) into (99) (11) the following system ŵ tt (, t) = ŵ (, t) q c 1 q c w t(1, t) (q c)(q c) (q )(1 q c) w tt(1, t) (18) q(1 qc)(q c) ŵ (, t) = cŵ t (, t) (q )(1 q c) w (1, t) (19) ŵ(1, t) =. (11) First, we establish eponential stability of the system (99) (11) with the Lyapunov function V 7 (t) = 1 1 w (, t) d 1 w (, t) d 1 w t (, t) d δ 1 ( ) w (, t) w t (, t)d w t (, t) d δ ( ) w (, t) w t (, t)d. (111) It is straightforward to show that V 7 ωv 7 α w t (1, t), ω >, α >. (11) Note that, unlike in the case of Dirichlet sensing, here the Lyapunov function has to contain H norms for us to be able to show eponential stability of the observer error system. This is due to the H nature of the terms ũ (1, t) appearing in (96) (98). To eliminate the term proportional to w tt (1, t) in (18) we introduce a new variable (q c)(q c) w(, t) = ŵ(, t) (q )(1 q c) w (1, t). (113) With the Lyapunov function V 8 (t) = 1 we obtain δ w (, t) d 1 w t (, t) d ( ) w (, t) w t (, t)d KV 7 (t), V 8 ω V 8, ω > (114) for sufficiently large K sufficiently small δ, δ 1, δ. The rest of the proof is similar to the proof of Theorem 3. VII. CONCLUSIONS In this paper we introduced a new integral transformation for wave equations used it to obtain eplicit controllers observers for a wave equation with negative damping at the boundary. The application of the presented approach to other hyperbolic systems is very promising will be the subject of future work. REFERENCES [1] G. Chen, Energy decay estimates eact boundary value controllability for the wave equation in a bounded domain, J. Math. Pure Appl., 58, pp. 4973, [] V. Komornik E. Zuazua, A direct method for the boundary stabilization of the wave equation, J. Math. Pure Appl, 69, 33-54, 199. [3] M. Krstic, B.-J. Guo, A. Balogh, A. Smyshlyaev, Outputfeedback stabilization of an unstable wave equation, Automatica, vol. 44, pp , 8. [4] I. Lasiecka R. Triggiani, Uniform stabilization of the wave equation with Dirichlet or Neumann feedback control without geometrical conditions, Appl. Math. Optim, vol. 5, pp , 199. [5] A. Smyshlyaev M. Krstic, Backstepping observers for a class of parabolic PDEs, Systems Control Letters, vol. 54, pp , 5. [6] A. Smyshlyaev M. Krstic, Closed form boundary state feedbacks for a class of 1-D partial integro-differential equations, IEEE Trans. on Automatic Control, 49(1)(4), [7] C. Bardos, L. Halpern, G. Lebeau, J. Rauch, E. Zuazua, Stabilization of the wave equation by Dirichlet type boundary feedback, Asymptotic Analysis, vol.4, no.4, pp ,
Robust 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 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 informationBoundary Controllers for Euler-Bernoulli Beam with Arbitrary Decay Rate
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
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 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 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 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 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 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 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 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 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 informationRobustness of Boundary Observers for Radial Diffusion Equations to Parameter Uncertainty
Robustness of Boundary Observers for Radial Diffusion Equations to Parameter Uncertainty Leobardo Camacho-Solorio, Scott Moura and Miroslav Krstic Abstract Boundary observers for radial diffusion equations
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 informationBackstepping observers for a class of parabolic PDEs
Systems & Control Letters 54 (25) 613 625 www.elsevier.com/locate/sysconle Backstepping observers for a class of parabolic PDEs Andrey Smyshlyaev, Miroslav Krstic Department of Mechanical and Aerospace
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 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 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 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 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 informationNonlinear Stabilization of Shock-Like Unstable Equilibria in the Viscous Burgers PDE REFERENCES
678 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 53, NO. 7, AUGUST 8 assessment. The main result lies in the development of a sufficient condition from which conve semidefinite programming can be used
More informationStabilization of a 3D Rigid Pendulum
25 American Control Conference June 8-, 25. Portland, OR, USA ThC5.6 Stabilization of a 3D Rigid Pendulum Nalin A. Chaturvedi, Fabio Bacconi, Amit K. Sanyal, Dennis Bernstein, N. Harris McClamroch Department
More informationc 2010 Society for Industrial and Applied Mathematics
SIAM J. CONTROL OPTIM. Vol. 8, No. 6, pp. 1 31 c 21 Society for Industrial and Applied Mathematics BOUNDARY STABILIZATION OF A 1-D WAVE EQUATION WITH IN-DOMAIN ANTIDAMPING ANDREY SMYSHLYAEV, EDUARDO CERPA,
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 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 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 informationDynamics of Continuous, Discrete and Impulsive Systems Series A: Mathematical Analysis 17 (2010) ADAPTIVE CONTROL OF AN ANTI-STABLE WAVE PDE
Dynamics of Continuous, Discrete and Impulsive Systems Series A: Mathematical Analysis 7 () 853-88 Copyright c Watam Press http://www.watam.org ADAPTIVE CONTROL OF AN ANTI-STABLE WAVE PDE Miroslav Krstic
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 informationControl of 2 2 Linear Hyperbolic Systems: Backstepping-Based Trajectory Generation and PI-Based Tracking
Control of Linear Hyperbolic Systems: Backstepping-Based Trajectory Generation and PI-Based Tracking Pierre-Olivier Lamare, Nikolaos Bekiaris-Liberis, and Aleandre M. Bayen Abstract We consider the problems
More informationUnifying Behavior-Based Control Design and Hybrid Stability Theory
9 American Control Conference Hyatt Regency Riverfront St. Louis MO USA June - 9 ThC.6 Unifying Behavior-Based Control Design and Hybrid Stability Theory Vladimir Djapic 3 Jay Farrell 3 and Wenjie Dong
More informationWhat Does the Book Cover?
Preface Both control of PDEs (partial differential equations) and adaptive control are challenging fields. In control of PDEs the challenge comes from the system dynamics being infinite-dimensional. In
More informationAn homotopy method for exact tracking of nonlinear nonminimum phase systems: the example of the spherical inverted pendulum
9 American Control Conference Hyatt Regency Riverfront, St. Louis, MO, USA June -, 9 FrA.5 An homotopy method for exact tracking of nonlinear nonminimum phase systems: the example of the spherical inverted
More informationAM 205: lecture 14. Last time: Boundary value problems Today: Numerical solution of PDEs
AM 205: lecture 14 Last time: Boundary value problems Today: Numerical solution of PDEs ODE BVPs A more general approach is to formulate a coupled system of equations for the BVP based on a finite difference
More informationLyapunov functions for switched linear hyperbolic systems
Lyapunov functions for switched linear hyperbolic systems Christophe PRIEUR Antoine GIRARD and Emmanuel WITRANT UJF-Grenoble 1/CNRS, Grenoble Image Parole Signal Automatique (GIPSA-lab), UMR 5216, B.P.
More informationANALYTICAL AND EXPERIMENTAL PREDICTOR-BASED TIME DELAY CONTROL OF BAXTER ROBOT
Proceedings of the ASME 218 Dynamic Systems and Control Conference DSCC 218 September 3-October 3, 218, Atlanta, Georgia, USA DSCC218-911 ANALYTICAL AND EXPERIMENTAL PREDICTOR-BASED TIME DELAY CONTROL
More informationStabilization of second order evolution equations with unbounded feedback with delay
Stabilization of second order evolution equations with unbounded feedback with delay S. Nicaise and J. Valein snicaise,julie.valein@univ-valenciennes.fr Laboratoire LAMAV, Université de Valenciennes et
More informationINTRODUCTION TO PDEs
INTRODUCTION TO PDEs In this course we are interested in the numerical approximation of PDEs using finite difference methods (FDM). We will use some simple prototype boundary value problems (BVP) and initial
More informationAnalytic Nonlinear Inverse-Optimal Control for Euler Lagrange System
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, VOL. 16, NO. 6, DECEMBER 847 Analytic Nonlinear Inverse-Optimal Control for Euler Lagrange System Jonghoon Park and Wan Kyun Chung, Member, IEEE Abstract Recent
More informationAnalysis of a class of high-order local absorbing boundary conditions
Report No. UCB/SEMM-2011/07 Structural Engineering Mechanics and Materials Analysis of a class of high-order local absorbing boundary conditions By Koki Sagiyama and Sanjay Govindjee June 2011 Department
More informationContraction Based Adaptive Control of a Class of Nonlinear Systems
9 American Control Conference Hyatt Regency Riverfront, St. Louis, MO, USA June -, 9 WeB4.5 Contraction Based Adaptive Control of a Class of Nonlinear Systems B. B. Sharma and I. N. Kar, Member IEEE Abstract
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 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 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 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 informationDelay-Independent Stabilization for Teleoperation with Time Varying Delay
9 American Control Conference Hyatt Regency Riverfront, St. Louis, MO, USA June -, 9 FrC9.3 Delay-Independent Stabilization for Teleoperation with Time Varying Delay Hiroyuki Fujita and Toru Namerikawa
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 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 informationInterior feedback stabilization of wave equations with dynamic boundary delay
Interior feedback stabilization of wave equations with dynamic boundary delay Stéphane Gerbi LAMA, Université Savoie Mont-Blanc, Chambéry, France Journée d EDP, 1 er Juin 2016 Equipe EDP-Contrôle, Université
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 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 informationStability of Switched Linear Hyperbolic Systems by Lyapunov Techniques
2196 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 59, NO. 8, AUGUST 2014 Stability of Switched Linear Hyperbolic Systems by Lyapunov Techniques Christophe Prieur, Antoine Girard, Emmanuel Witrant Abstract
More informationPiecewise Smooth Solutions to the Burgers-Hilbert Equation
Piecewise Smooth Solutions to the Burgers-Hilbert Equation Alberto Bressan and Tianyou Zhang Department of Mathematics, Penn State University, University Park, Pa 68, USA e-mails: bressan@mathpsuedu, zhang
More informationAdaptive identification of two unstable PDEs with boundary sensing and actuation
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING Int. J. Adapt. Control Signal Process. 29; 23:131 149 Published online 22 July 28 in Wiley InterScience (www.interscience.wiley.com)..156
More informationDecay Rates for Dissipative Wave equations
Published in Ricerche di Matematica 48 (1999), 61 75. Decay Rates for Dissipative Wave equations Wei-Jiu Liu Department of Applied Mechanics and Engineering Sciences University of California at San Diego
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 informationBACKSTEPPING, in its infinite-dimensional version, has
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL 6, NO 8, AUGUST 215 2145 Backstepping-Forwarding Control and Observation for Hyperbolic PDEs With Fredholm Integrals Federico Bribiesca-Argomedo, Member, IEEE
More informationLecture 5 Classical Control Overview III. Dr. Radhakant Padhi Asst. Professor Dept. of Aerospace Engineering Indian Institute of Science - Bangalore
Lecture 5 Classical Control Overview III Dr. Radhakant Padhi Asst. Professor Dept. of Aerospace Engineering Indian Institute of Science - Bangalore A Fundamental Problem in Control Systems Poles of open
More informationExponential stability of abstract evolution equations with time delay feedback
Exponential stability of abstract evolution equations with time delay feedback Cristina Pignotti University of L Aquila Cortona, June 22, 2016 Cristina Pignotti (L Aquila) Abstract evolutions equations
More informationStabilization of the wave equation with localized Kelvin-Voigt damping
Stabilization of the wave equation with localized Kelvin-Voigt damping Louis Tebou Florida International University Miami SEARCDE University of Memphis October 11-12, 2014 Louis Tebou (FIU, Miami) Stabilization...
More information2 Introduction T(,t) = = L Figure..: Geometry of the prismatical rod of Eample... T = u(,t) = L T Figure..2: Geometry of the taut string of Eample..2.
Chapter Introduction. Problems Leading to Partial Dierential Equations Many problems in science and engineering are modeled and analyzed using systems of partial dierential equations. Realistic models
More informationSplitting methods with boundary corrections
Splitting methods with boundary corrections Alexander Ostermann University of Innsbruck, Austria Joint work with Lukas Einkemmer Verona, April/May 2017 Strang s paper, SIAM J. Numer. Anal., 1968 S (5)
More informationApplication of wall forcing methods in a turbulent channel flow using Incompact3d
Application of wall forcing methods in a turbulent channel flow using Incompact3d S. Khosh Aghdam Department of Mechanical Engineering - University of Sheffield 1 Flow control 2 Drag reduction 3 Maths
More informationChapter 5. Static Non-Linear Analysis of Parallel Kinematic XY Flexure Mechanisms
Chapter 5. Static Non-Linear Analysis of Parallel Kinematic XY Fleure Mechanisms In this chapter we present the static non-linear analysis for some of the XY fleure mechanism designs that were proposed
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 informationA NONLINEAR TRANSFORMATION APPROACH TO GLOBAL ADAPTIVE OUTPUT FEEDBACK CONTROL OF 3RD-ORDER UNCERTAIN NONLINEAR SYSTEMS
Copyright 00 IFAC 15th Triennial World Congress, Barcelona, Spain A NONLINEAR TRANSFORMATION APPROACH TO GLOBAL ADAPTIVE OUTPUT FEEDBACK CONTROL OF RD-ORDER UNCERTAIN NONLINEAR SYSTEMS Choon-Ki Ahn, Beom-Soo
More informationMultivariable MRAC with State Feedback for Output Tracking
29 American Control Conference Hyatt Regency Riverfront, St. Louis, MO, USA June 1-12, 29 WeA18.5 Multivariable MRAC with State Feedback for Output Tracking Jiaxing Guo, Yu Liu and Gang Tao Department
More informationOutput feedback stabilisation for a cascaded wave PDE-ODE system subject to boundary control matched disturbance
INTERNATIONAL JOURNAL OF CONTROL, 216 VOL.89,NO.12,2396 245 http://dx.doi.org/1.18/27179.216.1158866 Output feedback stabilisation for a cascaded wave PDE-ODE system subject to boundary control matched
More informationSwitching, sparse and averaged control
Switching, sparse and averaged control Enrique Zuazua Ikerbasque & BCAM Basque Center for Applied Mathematics Bilbao - Basque Country- Spain zuazua@bcamath.org http://www.bcamath.org/zuazua/ WG-BCAM, February
More informationExistence and exponential stability of the damped wave equation with a dynamic boundary condition and a delay term.
Existence and exponential stability of the damped wave equation with a dynamic boundary condition and a delay term. Stéphane Gerbi LAMA, Université de Savoie, Chambéry, France Jeudi 24 avril 2014 Joint
More informationFlatness based analysis and control of distributed parameter systems Elgersburg Workshop 2018
Flatness based analysis and control of distributed parameter systems Elgersburg Workshop 2018 Frank Woittennek Institute of Automation and Control Engineering Private University for Health Sciences, Medical
More informationAttitude Regulation About a Fixed Rotation Axis
AIAA Journal of Guidance, Control, & Dynamics Revised Submission, December, 22 Attitude Regulation About a Fixed Rotation Axis Jonathan Lawton Raytheon Systems Inc. Tucson, Arizona 85734 Randal W. Beard
More informationADAPTIVE FEEDBACK LINEARIZING CONTROL OF CHUA S CIRCUIT
International Journal of Bifurcation and Chaos, Vol. 12, No. 7 (2002) 1599 1604 c World Scientific Publishing Company ADAPTIVE FEEDBACK LINEARIZING CONTROL OF CHUA S CIRCUIT KEVIN BARONE and SAHJENDRA
More informationPartial Differential Equations
Partial Differential Equations Xu Chen Assistant Professor United Technologies Engineering Build, Rm. 382 Department of Mechanical Engineering University of Connecticut xchen@engr.uconn.edu Contents 1
More informationFinite difference modelling, Fourier analysis, and stability
Finite difference modelling, Fourier analysis, and stability Peter M. Manning and Gary F. Margrave ABSTRACT This paper uses Fourier analysis to present conclusions about stability and dispersion in finite
More informationEN Nonlinear Control and Planning in Robotics Lecture 3: Stability February 4, 2015
EN530.678 Nonlinear Control and Planning in Robotics Lecture 3: Stability February 4, 2015 Prof: Marin Kobilarov 0.1 Model prerequisites Consider ẋ = f(t, x). We will make the following basic assumptions
More information3. Fundamentals of Lyapunov Theory
Applied Nonlinear Control Nguyen an ien -.. Fundamentals of Lyapunov heory he objective of this chapter is to present Lyapunov stability theorem and illustrate its use in the analysis and the design of
More informationArtificial Vector Fields for Robot Convergence and Circulation of Time-Varying Curves in N-dimensional Spaces
9 American Control Conference Hyatt Regency Riverfront, St. Louis, MO, USA June -, 9 WeC.3 Artificial Vector Fields for Robot Convergence and Circulation of Time-Varying Curves in N-dimensional Spaces
More informationStabilization of a solid propellant rocket instability by state feedback
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL Int. J. Robust Nonlinear Control 23; 13:483 495 (DOI: 1.12/rnc.732) Stabilization of a solid propellant rocket instability by state feedback Dejan
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 information2. Higher-order Linear ODE s
2. Higher-order Linear ODE s 2A. Second-order Linear ODE s: General Properties 2A-1. On the right below is an abbreviated form of the ODE on the left: (*) y + p()y + q()y = r() Ly = r() ; where L is the
More informationGlobal stabilization of feedforward systems with exponentially unstable Jacobian linearization
Global stabilization of feedforward systems with exponentially unstable Jacobian linearization F Grognard, R Sepulchre, G Bastin Center for Systems Engineering and Applied Mechanics Université catholique
More informationOutput Regulation for Linear Distributed Parameter Systems
2236 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL 45, NO 12, DECEMBER 2000 Output Regulation for Linear Distributed Parameter Systems Christopher I Byrnes, Fellow, IEEE, István G Laukó, David S Gilliam,
More informationMath 220A - Fall 2002 Homework 5 Solutions
Math 0A - Fall 00 Homework 5 Solutions. Consider the initial-value problem for the hyperbolic equation u tt + u xt 0u xx 0 < x 0 u t (x, 0) ψ(x). Use energy methods to show that the domain of dependence
More informationWave breaking in the short-pulse equation
Dynamics of PDE Vol.6 No.4 29-3 29 Wave breaking in the short-pulse equation Yue Liu Dmitry Pelinovsky and Anton Sakovich Communicated by Y. Charles Li received May 27 29. Abstract. Sufficient conditions
More informationBoundary Stabilization of Coupled Plate Equations
Palestine Journal of Mathematics Vol. 2(2) (2013), 233 242 Palestine Polytechnic University-PPU 2013 Boundary Stabilization of Coupled Plate Equations Sabeur Mansouri Communicated by Kais Ammari MSC 2010:
More informationDissipativity. Outline. Motivation. Dissipative Systems. M. Sami Fadali EBME Dept., UNR
Dissipativity M. Sami Fadali EBME Dept., UNR 1 Outline Differential storage functions. QSR Dissipativity. Algebraic conditions for dissipativity. Stability of dissipative systems. Feedback Interconnections
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 informationI. D. Landau, A. Karimi: A Course on Adaptive Control Adaptive Control. Part 9: Adaptive Control with Multiple Models and Switching
I. D. Landau, A. Karimi: A Course on Adaptive Control - 5 1 Adaptive Control Part 9: Adaptive Control with Multiple Models and Switching I. D. Landau, A. Karimi: A Course on Adaptive Control - 5 2 Outline
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 informationChapter 3 Burgers Equation
Chapter 3 Burgers Equation One of the major challenges in the field of comple systems is a thorough understanding of the phenomenon of turbulence. Direct numerical simulations (DNS) have substantially
More informationOn Pressure Stabilization Method and Projection Method for Unsteady Navier-Stokes Equations 1
On Pressure Stabilization Method and Projection Method for Unsteady Navier-Stokes Equations 1 Jie Shen Department of Mathematics, Penn State University University Park, PA 1682 Abstract. We present some
More informationPARAMETERIZATION OF STATE FEEDBACK GAINS FOR POLE PLACEMENT
PARAMETERIZATION OF STATE FEEDBACK GAINS FOR POLE PLACEMENT Hans Norlander Systems and Control, Department of Information Technology Uppsala University P O Box 337 SE 75105 UPPSALA, Sweden HansNorlander@ituuse
More information18.303: Introduction to Green s functions and operator inverses
8.33: Introduction to Green s functions and operator inverses S. G. Johnson October 9, 2 Abstract In analogy with the inverse A of a matri A, we try to construct an analogous inverse  of differential
More informationEXISTENCE AND UNIQUENESS FOR BOUNDARY-VALUE PROBLEM WITH ADDITIONAL SINGLE POINT CONDITIONS OF THE STOKES-BITSADZE SYSTEM
Electronic Journal of Differential Equations, Vol. 2012 (2012), No. 202, pp. 1 7. ISSN: 1072-6691. URL: http://ejde.math.tstate.edu or http://ejde.math.unt.edu ftp ejde.math.tstate.edu EXISTENCE AND UNIQUENESS
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 informationMATH 220: Problem Set 3 Solutions
MATH 220: Problem Set 3 Solutions Problem 1. Let ψ C() be given by: 0, < 1, 1 +, 1 < < 0, ψ() = 1, 0 < < 1, 0, > 1, so that it verifies ψ 0, ψ() = 0 if 1 and ψ()d = 1. Consider (ψ j ) j 1 constructed as
More informationQFT Framework for Robust Tuning of Power System Stabilizers
45-E-PSS-75 QFT Framework for Robust Tuning of Power System Stabilizers Seyyed Mohammad Mahdi Alavi, Roozbeh Izadi-Zamanabadi Department of Control Engineering, Aalborg University, Denmark Correspondence
More informationDigital Control: Part 2. ENGI 7825: Control Systems II Andrew Vardy
Digital Control: Part 2 ENGI 7825: Control Systems II Andrew Vardy Mapping the s-plane onto the z-plane We re almost ready to design a controller for a DT system, however we will have to consider where
More informationStability analysis of a singularly perturbed coupled ODE-PDE system
Stability analysis of a singularly perturbed coupled ODE-PDE system Ying TANG, Christophe PRIEUR and Antoine GIRARD Abstract This paper is concerned with a coupled ODE- PDE system with two time scales
More informationPreface. for a driver to react in response to large disturbances in road traffic; for a signal sent from Houston to reach a satellite in orbit;
page ix Consider the time periods required for a driver to react in response to large disturbances in road traffic; for a signal sent from Houston to reach a satellite in orbit; for a coolant to be distributed
More information