Multiple Model Approaches To Nonlinear Modelling And Control (Hardcover)

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

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Series in Systems and Control
Release date:	March 1997
First published:	1997
Editors:	R. Murray-Smith • T. Johansen
Dimensions:	254 x 178 x 25mm (L x W x T)
Format:	Hardcover
Pages:	360
ISBN-13:	978-0-7484-0595-4
Categories:	Books > Computing & IT > General theory of computing > Systems analysis & design Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Computing & IT > Computer software packages > Computer graphics software > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	0-7484-0595-X
Barcode:	9780748405954

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