Intelligent Control A Stochastic Optimization Based Adaptive Fuzzy Approach /
This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/H∞ theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic optimization techniques like...
Κύριοι συγγραφείς: | , , |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2018.
|
Έκδοση: | 1st ed. 2018. |
Σειρά: | Cognitive Intelligence and Robotics,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Part 1_ Prologue
- Chapter 1. Intelligent Adaptive Fuzzy Control
- Chapter 2. Some Contemporary Stochastic Algorithms: A Glimps
- Chpater 3. Fuzzy Controller Design-I: Stochastic Algorithm Based Approac
- Part II_Lyapunov Strategy Based Design Methodologie
- Chapter 4. Fuzzy Controller Design-II: Lyapunov Strategy Based Adaptive Approac
- Chapter 5. Fuzzy Controller Design-III: Hybrid Adaptive Approache
- Part III_H∞ Strategy Based Design Methodologies
- Chapter 6. Fuzzy Controller Design-IV: H∞ Strategy Based Robust Approac
- Chapter 7. Fuzzy Controller Design-V: Robust Hybrid Adaptive Approaches
- Part IV _Applications
- Chapter 8. Experimental Study-I: Temperature Control of an Air Heater System with Transportation Delay
- Chapter 9. Experimental Study-II: Vision Based Control of Robot Manipulators
- Chapter 10. Experimental Study-III: Vision Based Navigation of Mobile Robots
- Part V_Epilogue
- Chapter 11. Emerging Areas in Intelligent Fuzzy Control and Future Research Scopes.