Parameter Estimation and Adaptive Control for Nonlinear Servo Systems presents the latest advances in observer-based control design, focusing on adaptive control for nonlinear systems such as adaptive neural network control, adaptive parameter estimation, and system identification. This book offers an array of new, real-world applications in the field. Written by eminent scientists in the field of control theory, this book covers the latest advances in observer-based control design and provides fundamentals, algorithms, and key applications in the fields of power systems, robotics and mechatronics, flight, and automotive systems.…mehr
Parameter Estimation and Adaptive Control for Nonlinear Servo Systems presents the latest advances in observer-based control design, focusing on adaptive control for nonlinear systems such as adaptive neural network control, adaptive parameter estimation, and system identification. This book offers an array of new, real-world applications in the field. Written by eminent scientists in the field of control theory, this book covers the latest advances in observer-based control design and provides fundamentals, algorithms, and key applications in the fields of power systems, robotics and mechatronics, flight, and automotive systems.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
Produktdetails
Emerging Methodologies and Applications in Modelling, Identification and Control
Shubo Wang received his M.S. degree in control science and engineering from the School of Information Science and Engineering, Central South University, Hunan, China, 2011; and Ph.D. degree in control science and engineering from the Beijing Institute of Technology, Beijing, China, in 2017. Since 2017, He has been with the School of Automation, Qingdao University, where he became an associate professor in 2019. He has co-authored one monograph and more than 40 international journal and conference papers. His current research interests include adaptive control, parameter estimation, neural network, servo system, robotic, nonlinear control and applications for robotics and motor driving systems.
Inhaltsangabe
Part I: Modeling and control for servo systems with friction compensation 1. Neural network-based adaptive funnel sliding mode control for servo mechanisms with friction compensation 2. Robust adaptive tracking control for a servo mechanism with continuous friction compensation Part II: Modeling and control for servo systems with a dead-zone 3. Neural-network-based adaptive funnel control for servo mechanisms with unknown dead-zone Part III: Parameter estimation for servo systems with unknown parameters 4. Finite time parameter estimation-based adaptive predefined performance control for servo mechanisms 5. Adaptive optimal parameter estimation and control of servo mechanisms: theory and experiments Part IV: Disturbance rejection and control for servo systems 6. USDE-based sliding mode control for servo mechanisms with unknown system dynamics 7. Unknown input observer-based robust adaptive funnel motion control for nonlinear servo mechanisms 8. Extended-state-observer based funnel control for nonlinear servo mechanisms with prescribed tracking performance Part V: Prescribed performance control for servo systems 9. Adaptive predefined performance sliding mode control of motor driving systems with disturbances 10. Approximation-free control for nonlinear helicopters with unknown dynamics Part VI: Adaptive asymptotic tracking control for servo systems 11. RISE-based asymptotic prescribed performance tracking control of nonlinear servo mechanisms 12. Funnel tracking control for nonlinear servo drive systems with unknown disturbances 13. Asymptotic tracking control for nonaffine systems with disturbances
Part I: Modeling and control for servo systems with friction compensation 1. Neural network-based adaptive funnel sliding mode control for servo mechanisms with friction compensation 2. Robust adaptive tracking control for a servo mechanism with continuous friction compensation Part II: Modeling and control for servo systems with a dead-zone 3. Neural-network-based adaptive funnel control for servo mechanisms with unknown dead-zone Part III: Parameter estimation for servo systems with unknown parameters 4. Finite time parameter estimation-based adaptive predefined performance control for servo mechanisms 5. Adaptive optimal parameter estimation and control of servo mechanisms: theory and experiments Part IV: Disturbance rejection and control for servo systems 6. USDE-based sliding mode control for servo mechanisms with unknown system dynamics 7. Unknown input observer-based robust adaptive funnel motion control for nonlinear servo mechanisms 8. Extended-state-observer based funnel control for nonlinear servo mechanisms with prescribed tracking performance Part V: Prescribed performance control for servo systems 9. Adaptive predefined performance sliding mode control of motor driving systems with disturbances 10. Approximation-free control for nonlinear helicopters with unknown dynamics Part VI: Adaptive asymptotic tracking control for servo systems 11. RISE-based asymptotic prescribed performance tracking control of nonlinear servo mechanisms 12. Funnel tracking control for nonlinear servo drive systems with unknown disturbances 13. Asymptotic tracking control for nonaffine systems with disturbances
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