Multiple Model Approaches To Nonlinear Modelling And Control

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R Murray-Smith, T. Johansen
CRC Press, Mar 19, 1997 - Technology & Engineering - 360 pages
2 Reviews
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. Many component methods are described, as well as discussion of the strategies available for building a successful multiple model approach.
 

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Contents

The Operating Regime Approach
3
Fuzzy Modelling and Identification
75
Modelling Electrically Stimulated Muscle
101
Process Modelling Using the Functional State Approach
121
Markov Mixtures of Experts
145
Active Learning with Mixture Models
167
Local Learning in Local Model Networks
185
SideEffects of Normalising Basis Functions
211
Heterogeneous Control Laws
231
Local Laguerre Models
257
Fuzzy Control Based on Linear Models
307
Index
337
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