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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
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lee monnier
reviewed Multiple model approaches to modelling and control on October 24, 2019
Multiple model approaches to modelling and control
I had to read this textbook as part of my electrical engineering graduate studies at GMU (ECE 521).
The text takes a very interesting subject, and makes it dry and incomprehensible.
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Add Multiple model approaches to 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. Many , Multiple model approaches to modelling and control to the inventory that you are selling on WonderClubX
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Add Multiple model approaches to 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. Many , Multiple model approaches to modelling and control to your collection on WonderClub |