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Descripción

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.

It provides fundamentals, algorithms, and it discusses key applications in the fields of power systems, robotics and mechatronics, flight and automotive systems.

  • Presents a clear and concise introduction to the latest advances in parameter estimation and adaptive control with several concise applications for servo systems
  • Covers a wide range of applications usually not found in similar books, such as power systems, robotics, mechatronics, aeronautics, and industrial systems
  • Contains worked examples which make it ideal for advanced courses as well as for researchers starting to work in the field, particularly suitable for engineers wishing to enter the field quickly and efficiently

1. Introduction - p. Page vi 2. List of Illustrations - p. Page xi 3. List of Tables - p. Page xii 4. Chapter 1 : Neural network-based adaptive funnel sliding mode control for servo mechanisms with friction compensation - p. Page xii 5. Chapter 2 : Robust adaptive tracking control for a servo mechanism with continuous friction compensation - p. Page 18 6. Chapter 3 : Neural-network-based adaptive funnel control for servo mechanisms with unknown dead-zone - p. Page 35 7. Chapter 4 : Finite time parameter estimation-based adaptive predefined performance control for servo mechanisms - p. Page 63 8. Chapter 5 : Adaptive optimal parameter estimation and control of servo mechanisms: theory and experiments - p. Page 89 9. Chapter 6 : USDE-based sliding mode control for servo mechanisms with unknown system dynamics - p. Page 113 10. Chapter 7 : Unknown input observer-based robust adaptive funnel motion control for nonlinear servo mechanisms - p. Page 138 11. Chapter 8 : Extended-state-observer based funnel control for nonlinear servo mechanisms with prescribed tracking performance - p. Page 160 12. Chapter 9 : Adaptive predefined performance sliding mode control of motor driving systems with disturbances - p. Page 185 13. Chapter 10 : Approximation-free control for nonlinear helicopters with unknown dynamics - p. Page 206 14. Chapter 11 : RISE-based asymptotic prescribed performance tracking control of nonlinear servo mechanisms - p. Page 219 15. Chapter 12 : Funnel tracking control for nonlinear servo drive systems with unknown disturbances - p. Page 245 16. Chapter 13 : Asymptotic tracking control for nonaffine systems with disturbances - p. Page 262 17. Index - p. Page 278

Descripcion
Descripción

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.

It provides fundamentals, algorithms, and it discusses key applications in the fields of power systems, robotics and mechatronics, flight and automotive systems.

  • Presents a clear and concise introduction to the latest advances in parameter estimation and adaptive control with several concise applications for servo systems
  • Covers a wide range of applications usually not found in similar books, such as power systems, robotics, mechatronics, aeronautics, and industrial systems
  • Contains worked examples which make it ideal for advanced courses as well as for researchers starting to work in the field, particularly suitable for engineers wishing to enter the field quickly and efficiently

1. Introduction - p. Page vi 2. List of Illustrations - p. Page xi 3. List of Tables - p. Page xii 4. Chapter 1 : Neural network-based adaptive funnel sliding mode control for servo mechanisms with friction compensation - p. Page xii 5. Chapter 2 : Robust adaptive tracking control for a servo mechanism with continuous friction compensation - p. Page 18 6. Chapter 3 : Neural-network-based adaptive funnel control for servo mechanisms with unknown dead-zone - p. Page 35 7. Chapter 4 : Finite time parameter estimation-based adaptive predefined performance control for servo mechanisms - p. Page 63 8. Chapter 5 : Adaptive optimal parameter estimation and control of servo mechanisms: theory and experiments - p. Page 89 9. Chapter 6 : USDE-based sliding mode control for servo mechanisms with unknown system dynamics - p. Page 113 10. Chapter 7 : Unknown input observer-based robust adaptive funnel motion control for nonlinear servo mechanisms - p. Page 138 11. Chapter 8 : Extended-state-observer based funnel control for nonlinear servo mechanisms with prescribed tracking performance - p. Page 160 12. Chapter 9 : Adaptive predefined performance sliding mode control of motor driving systems with disturbances - p. Page 185 13. Chapter 10 : Approximation-free control for nonlinear helicopters with unknown dynamics - p. Page 206 14. Chapter 11 : RISE-based asymptotic prescribed performance tracking control of nonlinear servo mechanisms - p. Page 219 15. Chapter 12 : Funnel tracking control for nonlinear servo drive systems with unknown disturbances - p. Page 245 16. Chapter 13 : Asymptotic tracking control for nonaffine systems with disturbances - p. Page 262 17. Index - p. Page 278

Indice
Autores
Muestra
Ficha Técnica