application of Neural Networks to Adaptive Control of Nonlinear Systems (Umist Control Systems Centre Series, 4) - Hardcover

Ng, G. W.

Hardcover

ISBN 10: 0863802141 ISBN 13: 9780863802140

Publisher: Research Studies Pre, 1997

Synopsis

This book investigates the ability of a neural network (NN) to learn how to control an unknown (nonlinear, in general) system, using data acquired on-line, that is during the process of attempting to exert control. Two algorithms are developed to train the neural network for real-time control applications. The first algorithm is known as Learning by Recursive Least Squares (LRLS) algorithm and the second algorithm is known as Integrated Gradient and Least Squares Algorithm (IGLS). The ability of these algorithms for training the NN controller for real-time control is demonstrated on practical applications; the local convergence and stability requirements of the algorithms are analysed. In addition, network topology, learning algorithms (particularly supervised learning) and neural network control strategies including a new classification system for them, are presented.

About this title

Review

...A very useful addition to the available... literature on neural network control...I will not hesitate to recommend this book to engineers researchers and graduate students of instrumentaion & control engineering.
INT. JOURNAL OF ROBUST AND NONLINEAR CONTROL
very useful addition to the available... literature on neural network control...I will not hesitate to recommend this book to engineers researchers and graduate students of instrumentaion & control engineering.
INT. JOURNAL OF ROBUST AND NONLINEAR CONTROL

Edition details

• Publisher: Research Studies Pre
• Publication date: 1997
• Language: English
• ISBN 10: 0863802141
• ISBN 13: 9780863802140
• Binding: Hardcover
• Edition number: 1
• Number of pages: 224