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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Das Sharma, Kaushik (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Chatterjee, Amitava (http://id.loc.gov/vocabulary/relators/aut), Rakshit, Anjan (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
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.