This volume presents a well balanced combination of state-of-the-art theoretical results in the field of nonlinear controller and observer design, combined with industrial applications stemming from mechatronics, electrical, (bioβ) chemical engineering, and fluid dynamics. The unique combination of
Intelligent Observer and Control Design for Nonlinear Systems
β Scribed by Dierk SchrΓΆder (auth.), Prof. Dr.-Ing. Dr.-Ing. h. c. Dierk SchrΓΆder (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2000
- Tongue
- English
- Leaves
- 345
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Control theory of nonlinear systems, in which either the linear part is known but the relevant nonlinearities in place, kind or parameters are unknown, or both the linear and the nonlinear parts are partially or even most unknown, is a new, demanding and highly interesting field. This book treats the problem by focussing on the role of learning. Intelligent learning techniques are able to determine the unknown components of nonlinear systems. These processes are always stable and convergent. The methods presented can be used both on-line and off-line. They have applications in mechatronics, hydraulics and combustion engines.
β¦ Table of Contents
Front Matter....Pages I-XIII
Introduction β Control Aspects....Pages 1-18
Motion Control....Pages 19-65
Learning in Control Engineering....Pages 67-81
Neural Networks and Fuzzy Controllers as Nonlinear Function Approximators....Pages 83-103
Systematic Intelligent Observer Design for Plants Characterized by an Isolated Nonlinearity....Pages 105-134
Identification of Separable Nonlinearities....Pages 135-148
Identification and Compensation of Friction....Pages 149-165
Detection and Identification of Backlash....Pages 167-188
Nonlinear Observer Structures for the Identification of Isolated Nonlinearities in Rolling Mills....Pages 189-215
Input-Output Linearization of Nonlinear Dynamical Systems: an Introduction....Pages 217-233
Stable Model Reference Neurocontrol....Pages 235-254
Dynamic Neural Network Compositions for Stable Identification of Nonlinear Systems with Known and Unknown Structures....Pages 255-282
Further Strategies for Nonlinear Control with Neural Networks....Pages 283-327
Back Matter....Pages 329-339
β¦ Subjects
Control, Robotics, Mechatronics; Vibration, Dynamical Systems, Control; Systems Theory, Control
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