L1 Adaptive Control Theory

Guaranteed Robustness with Fast Adaptation

AvNaira Hovakimyan,Chengyu Cao

Häftad, Engelska, 2010

Del i serien Advances in Design and Control

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Beskrivning

Presents a comprehensive overview of the recently developed L1 adaptive control theory, including detailed proofs of the main results. The key feature of the L1 adaptive control theory is the decoupling of adaptation from robustness. The architectures of L1 adaptive control theory have guaranteed transient performance and robustness in the presence of fast adaptation, without enforcing persistent excitation, applying gain-scheduling, or resorting to high-gain feedback. It covers detailed proofs of the main results and also presents the flight test results that have used this theory and contains results not yet published in technical journals and conference proceedings.The material is organized into six chapters and concludes with an appendix that summarizes the mathematical results used to support the proofs. Software is available on a supplementary Web page.

Produktinformation

Utgivningsdatum:2010-09-30
Mått:152 x 229 x undefined mm
Vikt:750 g
Format:Häftad
Språk:Engelska
Serie:Advances in Design and Control
Antal sidor:336
Förlag:Society for Industrial & Applied Mathematics,U.S.
ISBN:9780898717044

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Mer om författaren

Naira Hovakimyan is Professor and Schaller Faculty Scholar at the University of Illinois, Urbana-Champaign. She is an Associate Editor of IEEE Transactions on Control Systems Technology; Computational Management Science; and Mathematics in Engineering, Science and Aerospace, and she has authored over 200 refereed publications. Dr Hovakimyan was the 2004, 2005 and 2007 recipient of the Pride@Boeing award, and she received the Dean's Award for Research Excellence at Virginia Tech in 2008. Her current interests are in the theory of robust adaptive control and estimation with an emphasis on aerospace applications, control in the presence of limited information, networks of autonomous systems and game theory. Chengyu Cao is Assistant Professor of Mechanical Engineering at the University of Connecticut. Dr Cao's research interests are in the areas of dynamics and control, adaptive and intelligent systems, and mechatonics, with a focus on unmanned systems and aerospace applications. He is the author of more than 100 publications in journals and peer-reviewed conference proceedings.

Innehållsförteckning

ForewordPrefaceChapter 1: IntroductionChapter 2: State Feedback in the Presence of Matched UncertaintiesChapter 3: State Feedback in the Presence of Unmatched UncertaintiesChapter 4: Output FeedbackChapter 5: L 1 Adaptive Controller for Time-Varying Reference SystemsChapter 6: Applications, Conclusions, and Open ProblemsAppendix A: Systems TheoryAppendix B: Projection Operator for Adaptation LawsAppendix C: Basic Facts on Linear Matrix InequalitiesBibliography