Description - Adaptive Control Tutorial by Petros A. Ioannou
Designed to meet the needs of a wide audience without sacrificing mathematical depth and rigour, Adaptive Control Tutorial presents the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters. Its tutorial-style presentation of the fundamental techniques and algorithms in adaptive control make it suitable as a textbook. Adaptive Control Tutorial is designed to serve the needs of three distinct groups of readers: engineers and students interested in learning how to design, simulate, and implement parameter estimators and adaptive control schemes; graduate students who also want to understand the analysis of simple schemes and get an idea of the steps involved in more complex proofs; and advanced students and researchers who want to study and understand the details of long and technical proofs with an eye toward pursuing research in adaptive control or related topics.
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(228mm x 152mm x 20mm)
Society for Industrial & Applied Mathematics,U.S.
Publisher: Society for Industrial & Applied Mathematics,U.S.
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Book Reviews - Adaptive Control Tutorial by Petros A. Ioannou
Author Biography - Petros A. Ioannou
Petros Ioannou is a Professor in the Department of Electrical Engineering - Systems and Director of the Center of Advanced Transportation Technologies at the University of Southern California, Los Angeles. He also holds a courtesy appointment with USC's Department of Aerospace and Mechanical Engineering. Ioannou is the author or coauthor of eight books and over 200 research papers. His research interests include adaptive control, neural networks, nonlinear systems, vehicle dynamics and control, intelligent transportation systems, and marine transportation. Baris Fidan is a researcher at the Systems Engineering and Complex Systems Program of National ICT Australia and the Research School of Information Sciences and Engineering of the Australian National University in Canberra. His research interests include adaptive and nonlinear control, switching and hybrid systems, autonomous formations, sensor networks, mechatronics, and various control applications, including high-performance and hypersonic flight control, semiconductor manufacturing process control, and disk-drive servo systems.