Intelligent Observer and Control Design for Nonlinear Systems

Citation

Rigelsford, J. (2000), "Intelligent Observer and Control Design for Nonlinear Systems", Industrial Robot, Vol. 27 No. 4. https://doi.org/10.1108/ir.2000.04927dae.003

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