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Intelligent Control = A Stochastic Optimization Based Adaptive Fuzzy Approach /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Intelligent Control / by Kaushik Das Sharma, Amitava Chatterjee, Anjan Rakshit.
其他題名:	A Stochastic Optimization Based Adaptive Fuzzy Approach /
作者:	Das Sharma, Kaushik.
其他作者:	Chatterjee, Amitava.
面頁冊數:	XVI, 302 p. 159 illus., 146 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-981-13-1298-4
ISBN:	9789811312984

Intelligent Control = A Stochastic Optimization Based Adaptive Fuzzy Approach /
Das Sharma, Kaushik.

Intelligent Control A Stochastic Optimization Based Adaptive Fuzzy Approach /[electronic resource] :by Kaushik Das Sharma, Amitava Chatterjee, Anjan Rakshit. - 1st ed. 2018. - XVI, 302 p. 159 illus., 146 illus. in color.online resource. - Cognitive Intelligence and Robotics,2520-1956. - Cognitive Intelligence and Robotics,.

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.

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 Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation (CMA) etc. can be utilized in conjunction with the Lyapunov theory/H∞ theory to develop such hybrid control strategies. The goal of developing a series of such hybridization processes is to combine the strengths of both Lyapunov theory/H∞theory-based local search methods and stochastic optimization-based global search methods, so as to attain superior control algorithms that can simultaneously achieve desired asymptotic performance and provide improved transient responses. The book also demonstrates how these intelligent adaptive control algorithms can be effectively utilized in real-life applications such as in temperature control for air heater systems with transportation delay, vision-based navigation of mobile robots, intelligent control of robot manipulators etc.

ISBN: 9789811312984

Standard No.: 10.1007/978-981-13-1298-4doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Intelligent Control = A Stochastic Optimization Based Adaptive Fuzzy Approach /
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