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Boundary Control of PDEs: A Course on Backstepping Designs

Boundary Control of PDEs: A Course on Backstepping Designs

by Miroslav Krstic, Andrey Smyshlyaev


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This concise and practical textbook presents an introduction to backstepping, an elegant new approach to boundary control of partial differential equations (PDEs). Backstepping provides mathematical tools for constructing coordinate transformations and boundary feedback laws for converting complex and unstable PDE systems into elementary, stable, and physically intuitive 'target PDE systems' that are familiar to engineers and physicists. Readers will be introduced to constructive control synthesis and Lyapunov stability analysis for distributed parameter systems. The text's broad coverage includes parabolic PDEs; hyperbolic PDEs of first and second order; fluid, thermal, and structural systems; delay systems; real-valued as well as complex-valued PDEs; and stabilisation as well as motion planning and trajectory tracking for PDEs. Even an instructor with no expertise in control of PDEs will find it possible to teach effectively from this book, while an expert researcher looking for novel technical challenges will find many topics of interest.

Product Details

ISBN-13: 9780898716504
Publisher: SIAM
Publication date: 05/12/2008
Series: Advances in Design and Control , #16
Edition description: New Edition
Pages: 195
Product dimensions: 6.85(w) x 9.72(h) x 0.59(d)

About the Author

Miroslav Krstic is Sorenson Professor of Mechanical and Aerospace Engineering at the University of California, San Diego (UCSD), and the founding Director of the Center for Control Systems and Dynamics at UCSD.

Andrey Smyshlyaev is a postdoctoral scholar at the University of California, San Diego. His research interests include control of distributed parameter systems, adaptive control, and nonlinear control.

Table of Contents

List of figures; List of tables; Preface; 1. Introduction; 2. Lyapunov stability; 3. Exact solutions to PDEs; 4. Parabolic PDEs: reaction-advection-diffusion and other equations; 5. Observer design; 6. Complex-valued PDEs: Schrödinger and Ginzburg–Landau equations; 7. Hyperbolic PDEs: wave equations; 8. Beam equations; 9. First-order hyperbolic PDEs and delay equations; 10. Kuramoto–Sivashinsky, Korteweg–de Vries, and other 'exotic' equations; 11. Navier–Stokes equations; 12. Motion planning for PDEs; 13. Adaptive control for PDEs; 14. Towards nonlinear PDEs; Appendix. Bessel functions; Bibliography; Index.

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