國立虎尾科技大學 |

Intelligent Control = A Stochastic Optimization Based Adaptive Fuzzy Approach /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Intelligent Control / by Kaushik Das Sharma, Amitava Chatterjee, Anjan Rakshit.
Reminder of title:	A Stochastic Optimization Based Adaptive Fuzzy Approach /
Author:	Das Sharma, Kaushik.
other author:	Chatterjee, Amitava.
Description:	XVI, 302 p. 159 illus., 146 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	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 /
LDR:03652nam a22004095i 4500 001 986798
003 DE-He213
005 20200705132722.0
007 cr nn 008mamaa
008 201225s2018 si | s |||| 0|eng d
020 $a 9789811312984 $9 978-981-13-1298-4
024 7 $a 10.1007/978-981-13-1298-4 $2 doi
035 $a 978-981-13-1298-4
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Das Sharma, Kaushik. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1279325
245 1 0 $a Intelligent Control $h [electronic resource] : $b A Stochastic Optimization Based Adaptive Fuzzy Approach / $c by Kaushik Das Sharma, Amitava Chatterjee, Anjan Rakshit.
250 $a 1st ed. 2018.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2018.
300 $a XVI, 302 p. 159 illus., 146 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Cognitive Intelligence and Robotics, $x 2520-1956
505 0 $a 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.
520 $a 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.
650 0 $a Computational intelligence. $3 568984
650 0 $a Control engineering. $3 1249728
650 0 $a Robotics. $3 561941
650 0 $a Mechatronics. $3 559133
650 0 $a Probabilities. $3 527847
650 0 $a Mathematical optimization. $3 527675
650 0 $a Optical data processing. $3 639187
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Control, Robotics, Mechatronics. $3 768396
650 2 4 $a Probability Theory and Stochastic Processes. $3 593945
650 2 4 $a Optimization. $3 669174
650 2 4 $a Image Processing and Computer Vision. $3 670819
700 1 $a Chatterjee, Amitava. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1071422
700 1 $a Rakshit, Anjan. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1072400
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811312977
776 0 8 $i Printed edition: $z 9789811312991
776 0 8 $i Printed edition: $z 9789811346033
830 0 $a Cognitive Intelligence and Robotics, $x 2520-1956 $3 1279326
856 4 0 $u https://doi.org/10.1007/978-981-13-1298-4
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)