Intelligent Observer and Control Design for Nonlinear Systems
Intelligent Observer and Control Design for Nonlinear Systems
D. Schröder (Ed.)Springer Verlag2000339 pp.ISBN 3-540-63639-0£44.50 (Hardcover)
Keywords: Non-linear, Control, Engineering
This book addresses the problem of determining the unknown components on non-linear systems. It covers intelligent learning techniques that are always stable and convergent. The methods presented have applications in mechatronics,hydraulics and combustion engines and can be used both on- and off-line.
After an introductory chapter which addresses aspects of control, chapter 2 discusses Motion control. Chapters 3 and 4 then address Learning in control engineering and non-linear approximators, respectively. Systematic intelligent observer design is covered in chapter 5.
Chapters 6 to 9 discuss the Identification of separable non-linearities, the Identification and compensation of friction, the Detection and identification of backlash and the Identification of isolated non-linearities in rolling mills.
Chapter 10 introduces Input-output linearisation, while chapter 11 covers Stable model reference neurocontrol.
The final two chapters of the book address Dynamic neural network compositions and Further strategies for non-linear control with neural networks,respectively.
This book clearly presents the subject matter and is aimed at those who are involved in control engineering, either as researchers or practitioners.
Jon Rigelsford
