This book 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.
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This book is intended for graduate students; researchers; and aerospace, mechanical, chemical, industrial, and electrical engineers interested in pursuing new directions in research and developing technology at reduced costs.
About the Authors
Naira Hovakimyan is professor and Schaller faculty scholar at the University of Illinois at 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 DeanÕs 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.
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