Intelligent Observer and Control Design for Nonlinear Systems
By: edited by Dierk Schröder
Publisher: Springer Berlin Heidelberg
Published: 2000
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 339
ISBN-13: 9783642083464; 9783662041178
Subjects: Engineering; Systems theory; Vibration
Description: 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.
Notes: Online full text is restricted to subscribers.

Also available in print.

Mode of access: World Wide Web.
Table of contents: title: Introduction - Control Aspects; title: Motion Control; title: Learning in Control Engineering; title: Nonlinear Function Approximators; title: Systematic Intelligent Observer Design; title: Identification of Separable Nonlinearities; title: Identification and Compensation of Friction; Detection and Identification of Backlash; title: Identification of Isolated Nonlinearities in Rolling Mills; title: Input-Output Linearization: an Introduction; title: Stable Model Reference Neurocontrol; title: Dynamic Neural Network Compositions; title: Further Strategies for Nonlinear Control with Neural Networks; title: List of Figures; title: Index.