Multiple Model Approaches To Nonlinear Modelling And Control (eBook, PDF)

Redaktion: Murray-Smith, R.; Johansen, T.

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 360
• Erscheinungstermin: 25. November 2020
• Englisch
• ISBN-13: 9781000124071
• Artikelnr.: 60467633

Autorenporträt

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

Inhaltsangabe

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