Nonlinear Identification and Control
Subtitle: A Neural Network Approach
By: by G. P. Liu
Series: Advances in Industrial Control; Advances in industrial control
Publisher: Springer London
Published: 2001
Place of publication: London
Language: eng
Format: [electronic resource] :
Number of pages: 210
ISBN-13: 9781447110767; 9781447103455
Subjects: Engineering; Physics
Description: The purpose of this monograph is to give the broad aspects of nonlinear identification and control using neural networks. It consists of three parts: - an introduction to the fundamental principles of neural networks; - several methods for nonlinear identification using neural networks; - various techniques for nonlinear control using neural networks. A number of simulated and industrial examples are used throughout the monograph to demonstrate the operation of nonlinear identification and control techniques using neural networks. It should be emphasised that the methods and systems of nonlinear control have not progressed as rapidly as those for linear control. Comparatively speaking, at the present time, they are still in the development stage. We believe that the fundamental theory, various design methods and techniques, and several applications of nonlinear identification and control using neural networks that are presented in this monograph will enable the reader to analyse and synthesise nonlinear control systems quantitatively.
Notes: Online full text is restricted to subscribers.

Also available in print.

Mode of access: World Wide Web.
Table of contents: title: Neural Networks; title: Sequential Nonlinear Identification; title: Recursive Nonlinear Identification; title: Multi-objective Nonlinear Identification; title: Wavelet-Based Nonlinear Identification; title: Nonlinear Adaptive Neural Control; title: Nonlinear Predictive Neural Control; title: Variable Structure Neural Control; title: Neural Control Application to Combustion Processes.