Multiple Model Approaches to Nonlinear Modelling and Control

Multiple Model Approaches to Nonlinear Modelling and Control

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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 more

Product details

  • Hardback | 360 pages
  • 165.1 x 246.4 x 25.4mm | 725.76g
  • Taylor & Francis Ltd
  • London, United Kingdom
  • English
  • 074840595X
  • 9780748405954

Table 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 Modelsshow more

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