Overview
- Contains a rich set of adaptive control designs, including mathematical proofs and simulation demonstrations, which is of great value to researchers, students and practitioners in engineering and applied physics/mathematics
- Gives readers an insight into the performance of the proposed control algorithms through simulation examples with implementational details and graphical displays
- Provides the first comprehensive treatment of adaptive control of linear hyperbolic systems using the backstepping method
Part of the book series: Communications and Control Engineering (CCE)
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Table of contents (20 chapters)
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Front Matter
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Background
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Front Matter
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n + 1 Systems
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Front Matter
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Keywords
- Adaptive Control of Hyperbolic Partial Differential Equations
- Control of Distributed Parameter Systems
- Adaptive Control of Distributed Parameter Systems
- Parameter Identification for Partial Differential Equations
- Parameter Identification for Distributed Parameter Systems
- Control of Systems of Coupled Hyperbolic Equations
- Control Based on BackStepping Method
- partial differential equations
About this book
Adaptive Control of Linear Hyperbolic PDEs provides a comprehensive treatment of adaptive control of linear hyperbolic systems, using the backstepping method. It develops adaptive control strategies for different combinations of measurements and actuators, as well as for a range of different combinations of parameter uncertainty. The book treats boundary control of systems of hyperbolic partial differential equations (PDEs) with uncertain parameters.
The authors develop designs for single equations, as well as any number of coupled equations. The designs are accompanied by mathematical proofs, which allow the reader to gain insight into the technical challenges associated with adaptive control of hyperbolic PDEs, and to get an overview of problems that are still open for further research. Although stabilization of unstable systems by boundary control and boundary sensing are the particular focus, state-feedback designs are also presented. The book alsoincludes simulation examples with implementational details and graphical displays, to give readers an insight into the performance of the proposed control algorithms, as well as the computational details involved. A library of MATLAB® code supplies ready-to-use implementations of the control and estimation algorithms developed in the book, allowing readers to tailor controllers for cases of their particular interest with little effort. These implementations can be used for many different applications, including pipe flows, traffic flow, electrical power lines, and more.
Adaptive Control of Linear Hyperbolic PDEs is of value to researchers and practitioners in applied mathematics, engineering and physics; it contains a rich set of adaptive control designs, including mathematical proofs and simulation demonstrations. The book is also of interest to students looking to expand their knowledge of hyperbolic PDEs.
Authors and Affiliations
About the authors
Ole Morten Aamo received the M.Sc. and Ph.D. degrees in engineering cybernetics from the Norwegian University of Science and Technology (NTNU), Trondheim, Norway, in 1992 and 2002, respectively. He was a reasearch scientist with the Environmental Modelling Section of SINTEF from 1993 to 1997, a post doc researcher at NTNU from 2002 to 2006, and has been a Professor with NTNU since 2006. He is a co-author of the book Flow Control by Feedback (Springer 2003), and has co-authored about 200 scientific papers. His main research interests include the estimation and control of distributed parameter systems with special emphasis on control of fluid flows.
Bibliographic Information
Book Title: Adaptive Control of Hyperbolic PDEs
Authors: Henrik Anfinsen, Ole Morten Aamo
Series Title: Communications and Control Engineering
DOI: https://doi.org/10.1007/978-3-030-05879-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-05878-4Published: 08 March 2019
eBook ISBN: 978-3-030-05879-1Published: 21 February 2019
Series ISSN: 0178-5354
Series E-ISSN: 2197-7119
Edition Number: 1
Number of Pages: XV, 478
Number of Illustrations: 6 b/w illustrations, 56 illustrations in colour
Topics: Control and Systems Theory, Partial Differential Equations, Systems Theory, Control, Communications Engineering, Networks, Transportation Technology and Traffic Engineering