Parameter Estimation and Adaptive Control for Nonlinear Servo Systems

Presenting the latest advances in observer-based control design, this book focuses 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, it covers the latest advances in observer-based control design. It provides fundamentals, algorithms, and discusses key applications in the fields of power systems, robotics, mechatronics, flight, and automotive systems.

Key Features

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.