Multiple Model Approaches To Nonlinear Modelling And Control

This work presents approaches to modelling and control problems arising from conditions of ever increasing nonlinearity and complexity. It prescribes an approach that covers a wide range of methods being combined to provide multiple model solutions.

List of contents

1. Basic Principles: The Operating Regime Approach 2. Modelling: Fuzzy Set Methods for Local Modelling Identification 3. Modelling of Electrically Stimulated Muscle 4. Process Modelling Using a Functional State Approach 5. Markov Mixtures of Experts 6. Active Learning With Mixture Models 7. Local Learning in Local Model Networks 8. Side Effects of Normalising Basic Functions 9. Control: Heterogeneous Control Laws 10. Local Laguerre Models 11. Multiple Model Adaptive Control 12. H Control Using Multiple Linear Models 13. Synthesis of Fuzzy Control Systems Based on Linear Takagi-Sugeno Fuzzy Models

About the author

R Murray-Smith (Edited by) , T. Johansen (Edited by)

Summary

This work presents approaches to modelling and control problems arising from conditions of ever increasing nonlinearity and complexity. It prescribes an approach that covers a wide range of methods being combined to provide multiple model solutions.

Product details

• Assisted by: T. Johansen (Editor), Tor Arne Johansen (Editor), Johansen T. (Editor), R Murray-Smith (Editor), Roderick Murray-Smith (Editor)
• Publisher: Taylor and Francis
• Languages: English
• Product format: Hardback
• Released: 19.03.1997
• EAN: 9780748405954
• ISBN: 978-0-7484-0595-4
• No. of pages: 360
• Weight: 830 g
• Series: Series in Systems and Control
• Subjects: Natural sciences, medicine, IT, technology > Technology > Heat, energy and power station engineering; MATHEMATICS / Applied, TECHNOLOGY & ENGINEERING / Automation, Systems analysis & design, Mathematical modelling, Automatic control engineering, 3D graphics & modelling, Systems analysis and design, COMPUTERS / Design, Graphics & Media / Graphics Tools, 3D graphics and modelling