Strategies for Feedback Linearisation: A Dynamic Neural Network Approach (Advances in Industrial Control) - Hardcover

Garces, Freddy Rafael; Becerra, Victor Manuel; Kambhampati, Chandrasekhar; Warwick, Kevin

Hardcover

ISBN 10: 1852335017 ISBN 13: 9781852335014

Publisher: Springer London Ltd, 2002

Synopsis

Using relevant mathematical proofs and case studies illustrating design and application issues, this book demonstrates this powerful technique in the light of research on neural networks, which allow the identification of nonlinear models without the complicated and costly development of models based on physical laws.

About this title

Product Description

Using relevant mathematical proofs and case studies illustrating design and application issues, this book demonstrates this powerful technique in the light of research on neural networks, which allow the identification of nonlinear models without the complicated and costly development of models based on physical laws.

Synopsis

The last few decades have witnessed tremendous developments in nonlinear control theory. One of the most important of these is the model-based method of feedback linearisation in which a nonlinear system is transformed into a linear system by means of state feedback and nonlinear transformations. After feedback linearisation, a system can be dealt with by linear controller design. The extension of these techniques to include MIMO systems allows for the further simplification of controller design by decoupling the system. Strategies for Feedback Linearisation demonstrates this powerful technique in the light of research on neural networks which allow the identification of nonlinear models without the complicated and costly development of models based on physical laws. Dynamic or recurrent neural networks have inherent properties that allow them to approximate nonlinear dynamic systems. Strategies for the identification of nonlinear systems using such neural networks are presented in this monograph together with the use of such models for the design and application of input-output linearisation and decoupling methods.

Strategies for Feedback Linearisation is written to serve academic and industrial researchers in non-linear control and system identification and practising control engineers interested in their application to real-world industrial systems. The reader will gain a balanced view of theoretical and practical issues: relevant mathematical proofs are provided as are case studies illustrating design and application issues.

Edition details

• Publisher: Springer London Ltd
• Publication date: 2002
• Language: English
• ISBN 10: 1852335017
• ISBN 13: 9781852335014
• Binding: Hardcover
• Number of pages: 186