Intelligent Control System Taking Account of Cooperativeness Using Weighting Information on System Objective

This study considers an intelligent control system to integrate flexibly its components by using weighted information where the system evaluation is reflected. Such system evaluates the information flowing through the components and converts them by weighting depending on the degree of importance. I...
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Gespeichert in:

Autor*in:	Masaki Takahashi [verfasserIn] Kazuo Yoshida [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2004

Schlagwörter:	Inverted Pendulum Cooperativeness intelligent control Autonomous Decentralized System

Übergeordnetes Werk:	In: Journal of Systemics, Cybernetics and Informatics - International Institute of Informatics and Cybernetics, 2011, 2(2004), 4, Seite 12-18
Übergeordnetes Werk:	volume:2 ; year:2004 ; number:4 ; pages:12-18

Links:	Link aufrufen Link aufrufen Journal toc

Katalog-ID:	DOAJ010540210

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520			\|a This study considers an intelligent control system to integrate flexibly its components by using weighted information where the system evaluation is reflected. Such system evaluates the information flowing through the components and converts them by weighting depending on the degree of importance. Integration of components based on the system evaluation enables a system consisting of them to realize various, flexible and adaptive control. In this study, the intelligent control method is applied to a swing up and stabilization control problem of a number of cart and pendulum systems on a restricted straight guide. To stabilize the pendulum in a restricted environment, each system should realize not only a swing-up and stabilization control of the pendulum, but also a position control of the cart to avoid collision or deadlock. The experiment using a real apparatus demonstrated that the controller learning light interaction acquires egoistic character, the controller learning heavy interaction behaves altruistically, and the controller equally considering self cart and another cart becomes cooperative. In other words, these autonomous decentralized controllers can acquire various characters and flexibility for cooperation.
650		4	\|a Inverted Pendulum
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allfields	(DE-627)DOAJ010540210 (DE-599)DOAJ4e4d3a4c08e74c4fad13d6817ecacda0 DE-627 ger DE-627 rakwb eng T58.5-58.64 P87-96 Masaki Takahashi verfasserin aut Intelligent Control System Taking Account of Cooperativeness Using Weighting Information on System Objective 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study considers an intelligent control system to integrate flexibly its components by using weighted information where the system evaluation is reflected. Such system evaluates the information flowing through the components and converts them by weighting depending on the degree of importance. Integration of components based on the system evaluation enables a system consisting of them to realize various, flexible and adaptive control. In this study, the intelligent control method is applied to a swing up and stabilization control problem of a number of cart and pendulum systems on a restricted straight guide. To stabilize the pendulum in a restricted environment, each system should realize not only a swing-up and stabilization control of the pendulum, but also a position control of the cart to avoid collision or deadlock. The experiment using a real apparatus demonstrated that the controller learning light interaction acquires egoistic character, the controller learning heavy interaction behaves altruistically, and the controller equally considering self cart and another cart becomes cooperative. In other words, these autonomous decentralized controllers can acquire various characters and flexibility for cooperation. Inverted Pendulum Cooperativeness intelligent control Autonomous Decentralized System Information technology Communication. Mass media Kazuo Yoshida verfasserin aut In Journal of Systemics, Cybernetics and Informatics International Institute of Informatics and Cybernetics, 2011 2(2004), 4, Seite 12-18 (DE-627)505952289 (DE-600)2216824-2 16904524 nnns volume:2 year:2004 number:4 pages:12-18 https://doaj.org/article/4e4d3a4c08e74c4fad13d6817ecacda0 kostenfrei http://www.iiisci.org/Journal/CV$/sci/pdfs/P936322.pdf kostenfrei https://doaj.org/toc/1690-4524 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2004 4 12-18
spelling	(DE-627)DOAJ010540210 (DE-599)DOAJ4e4d3a4c08e74c4fad13d6817ecacda0 DE-627 ger DE-627 rakwb eng T58.5-58.64 P87-96 Masaki Takahashi verfasserin aut Intelligent Control System Taking Account of Cooperativeness Using Weighting Information on System Objective 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study considers an intelligent control system to integrate flexibly its components by using weighted information where the system evaluation is reflected. Such system evaluates the information flowing through the components and converts them by weighting depending on the degree of importance. Integration of components based on the system evaluation enables a system consisting of them to realize various, flexible and adaptive control. In this study, the intelligent control method is applied to a swing up and stabilization control problem of a number of cart and pendulum systems on a restricted straight guide. To stabilize the pendulum in a restricted environment, each system should realize not only a swing-up and stabilization control of the pendulum, but also a position control of the cart to avoid collision or deadlock. The experiment using a real apparatus demonstrated that the controller learning light interaction acquires egoistic character, the controller learning heavy interaction behaves altruistically, and the controller equally considering self cart and another cart becomes cooperative. In other words, these autonomous decentralized controllers can acquire various characters and flexibility for cooperation. Inverted Pendulum Cooperativeness intelligent control Autonomous Decentralized System Information technology Communication. Mass media Kazuo Yoshida verfasserin aut In Journal of Systemics, Cybernetics and Informatics International Institute of Informatics and Cybernetics, 2011 2(2004), 4, Seite 12-18 (DE-627)505952289 (DE-600)2216824-2 16904524 nnns volume:2 year:2004 number:4 pages:12-18 https://doaj.org/article/4e4d3a4c08e74c4fad13d6817ecacda0 kostenfrei http://www.iiisci.org/Journal/CV$/sci/pdfs/P936322.pdf kostenfrei https://doaj.org/toc/1690-4524 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2004 4 12-18
allfields_unstemmed	(DE-627)DOAJ010540210 (DE-599)DOAJ4e4d3a4c08e74c4fad13d6817ecacda0 DE-627 ger DE-627 rakwb eng T58.5-58.64 P87-96 Masaki Takahashi verfasserin aut Intelligent Control System Taking Account of Cooperativeness Using Weighting Information on System Objective 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study considers an intelligent control system to integrate flexibly its components by using weighted information where the system evaluation is reflected. Such system evaluates the information flowing through the components and converts them by weighting depending on the degree of importance. Integration of components based on the system evaluation enables a system consisting of them to realize various, flexible and adaptive control. In this study, the intelligent control method is applied to a swing up and stabilization control problem of a number of cart and pendulum systems on a restricted straight guide. To stabilize the pendulum in a restricted environment, each system should realize not only a swing-up and stabilization control of the pendulum, but also a position control of the cart to avoid collision or deadlock. The experiment using a real apparatus demonstrated that the controller learning light interaction acquires egoistic character, the controller learning heavy interaction behaves altruistically, and the controller equally considering self cart and another cart becomes cooperative. In other words, these autonomous decentralized controllers can acquire various characters and flexibility for cooperation. Inverted Pendulum Cooperativeness intelligent control Autonomous Decentralized System Information technology Communication. Mass media Kazuo Yoshida verfasserin aut In Journal of Systemics, Cybernetics and Informatics International Institute of Informatics and Cybernetics, 2011 2(2004), 4, Seite 12-18 (DE-627)505952289 (DE-600)2216824-2 16904524 nnns volume:2 year:2004 number:4 pages:12-18 https://doaj.org/article/4e4d3a4c08e74c4fad13d6817ecacda0 kostenfrei http://www.iiisci.org/Journal/CV$/sci/pdfs/P936322.pdf kostenfrei https://doaj.org/toc/1690-4524 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2004 4 12-18
allfieldsGer	(DE-627)DOAJ010540210 (DE-599)DOAJ4e4d3a4c08e74c4fad13d6817ecacda0 DE-627 ger DE-627 rakwb eng T58.5-58.64 P87-96 Masaki Takahashi verfasserin aut Intelligent Control System Taking Account of Cooperativeness Using Weighting Information on System Objective 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study considers an intelligent control system to integrate flexibly its components by using weighted information where the system evaluation is reflected. Such system evaluates the information flowing through the components and converts them by weighting depending on the degree of importance. Integration of components based on the system evaluation enables a system consisting of them to realize various, flexible and adaptive control. In this study, the intelligent control method is applied to a swing up and stabilization control problem of a number of cart and pendulum systems on a restricted straight guide. To stabilize the pendulum in a restricted environment, each system should realize not only a swing-up and stabilization control of the pendulum, but also a position control of the cart to avoid collision or deadlock. The experiment using a real apparatus demonstrated that the controller learning light interaction acquires egoistic character, the controller learning heavy interaction behaves altruistically, and the controller equally considering self cart and another cart becomes cooperative. In other words, these autonomous decentralized controllers can acquire various characters and flexibility for cooperation. Inverted Pendulum Cooperativeness intelligent control Autonomous Decentralized System Information technology Communication. Mass media Kazuo Yoshida verfasserin aut In Journal of Systemics, Cybernetics and Informatics International Institute of Informatics and Cybernetics, 2011 2(2004), 4, Seite 12-18 (DE-627)505952289 (DE-600)2216824-2 16904524 nnns volume:2 year:2004 number:4 pages:12-18 https://doaj.org/article/4e4d3a4c08e74c4fad13d6817ecacda0 kostenfrei http://www.iiisci.org/Journal/CV$/sci/pdfs/P936322.pdf kostenfrei https://doaj.org/toc/1690-4524 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2004 4 12-18
allfieldsSound	(DE-627)DOAJ010540210 (DE-599)DOAJ4e4d3a4c08e74c4fad13d6817ecacda0 DE-627 ger DE-627 rakwb eng T58.5-58.64 P87-96 Masaki Takahashi verfasserin aut Intelligent Control System Taking Account of Cooperativeness Using Weighting Information on System Objective 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study considers an intelligent control system to integrate flexibly its components by using weighted information where the system evaluation is reflected. Such system evaluates the information flowing through the components and converts them by weighting depending on the degree of importance. Integration of components based on the system evaluation enables a system consisting of them to realize various, flexible and adaptive control. In this study, the intelligent control method is applied to a swing up and stabilization control problem of a number of cart and pendulum systems on a restricted straight guide. To stabilize the pendulum in a restricted environment, each system should realize not only a swing-up and stabilization control of the pendulum, but also a position control of the cart to avoid collision or deadlock. The experiment using a real apparatus demonstrated that the controller learning light interaction acquires egoistic character, the controller learning heavy interaction behaves altruistically, and the controller equally considering self cart and another cart becomes cooperative. In other words, these autonomous decentralized controllers can acquire various characters and flexibility for cooperation. Inverted Pendulum Cooperativeness intelligent control Autonomous Decentralized System Information technology Communication. Mass media Kazuo Yoshida verfasserin aut In Journal of Systemics, Cybernetics and Informatics International Institute of Informatics and Cybernetics, 2011 2(2004), 4, Seite 12-18 (DE-627)505952289 (DE-600)2216824-2 16904524 nnns volume:2 year:2004 number:4 pages:12-18 https://doaj.org/article/4e4d3a4c08e74c4fad13d6817ecacda0 kostenfrei http://www.iiisci.org/Journal/CV$/sci/pdfs/P936322.pdf kostenfrei https://doaj.org/toc/1690-4524 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2004 4 12-18
language	English
source	In Journal of Systemics, Cybernetics and Informatics 2(2004), 4, Seite 12-18 volume:2 year:2004 number:4 pages:12-18
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topic_facet	Inverted Pendulum Cooperativeness intelligent control Autonomous Decentralized System Information technology Communication. Mass media
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container_title	Journal of Systemics, Cybernetics and Informatics
authorswithroles_txt_mv	Masaki Takahashi @@aut@@ Kazuo Yoshida @@aut@@
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callnumber-first	T - Technology
author	Masaki Takahashi
spellingShingle	Masaki Takahashi misc T58.5-58.64 misc P87-96 misc Inverted Pendulum misc Cooperativeness misc intelligent control misc Autonomous Decentralized System misc Information technology misc Communication. Mass media Intelligent Control System Taking Account of Cooperativeness Using Weighting Information on System Objective
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topic_title	T58.5-58.64 P87-96 Intelligent Control System Taking Account of Cooperativeness Using Weighting Information on System Objective Inverted Pendulum Cooperativeness intelligent control Autonomous Decentralized System
topic	misc T58.5-58.64 misc P87-96 misc Inverted Pendulum misc Cooperativeness misc intelligent control misc Autonomous Decentralized System misc Information technology misc Communication. Mass media
topic_unstemmed	misc T58.5-58.64 misc P87-96 misc Inverted Pendulum misc Cooperativeness misc intelligent control misc Autonomous Decentralized System misc Information technology misc Communication. Mass media
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title	Intelligent Control System Taking Account of Cooperativeness Using Weighting Information on System Objective
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title_sort	intelligent control system taking account of cooperativeness using weighting information on system objective
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title_auth	Intelligent Control System Taking Account of Cooperativeness Using Weighting Information on System Objective
abstract	This study considers an intelligent control system to integrate flexibly its components by using weighted information where the system evaluation is reflected. Such system evaluates the information flowing through the components and converts them by weighting depending on the degree of importance. Integration of components based on the system evaluation enables a system consisting of them to realize various, flexible and adaptive control. In this study, the intelligent control method is applied to a swing up and stabilization control problem of a number of cart and pendulum systems on a restricted straight guide. To stabilize the pendulum in a restricted environment, each system should realize not only a swing-up and stabilization control of the pendulum, but also a position control of the cart to avoid collision or deadlock. The experiment using a real apparatus demonstrated that the controller learning light interaction acquires egoistic character, the controller learning heavy interaction behaves altruistically, and the controller equally considering self cart and another cart becomes cooperative. In other words, these autonomous decentralized controllers can acquire various characters and flexibility for cooperation.
abstractGer	This study considers an intelligent control system to integrate flexibly its components by using weighted information where the system evaluation is reflected. Such system evaluates the information flowing through the components and converts them by weighting depending on the degree of importance. Integration of components based on the system evaluation enables a system consisting of them to realize various, flexible and adaptive control. In this study, the intelligent control method is applied to a swing up and stabilization control problem of a number of cart and pendulum systems on a restricted straight guide. To stabilize the pendulum in a restricted environment, each system should realize not only a swing-up and stabilization control of the pendulum, but also a position control of the cart to avoid collision or deadlock. The experiment using a real apparatus demonstrated that the controller learning light interaction acquires egoistic character, the controller learning heavy interaction behaves altruistically, and the controller equally considering self cart and another cart becomes cooperative. In other words, these autonomous decentralized controllers can acquire various characters and flexibility for cooperation.
abstract_unstemmed	This study considers an intelligent control system to integrate flexibly its components by using weighted information where the system evaluation is reflected. Such system evaluates the information flowing through the components and converts them by weighting depending on the degree of importance. Integration of components based on the system evaluation enables a system consisting of them to realize various, flexible and adaptive control. In this study, the intelligent control method is applied to a swing up and stabilization control problem of a number of cart and pendulum systems on a restricted straight guide. To stabilize the pendulum in a restricted environment, each system should realize not only a swing-up and stabilization control of the pendulum, but also a position control of the cart to avoid collision or deadlock. The experiment using a real apparatus demonstrated that the controller learning light interaction acquires egoistic character, the controller learning heavy interaction behaves altruistically, and the controller equally considering self cart and another cart becomes cooperative. In other words, these autonomous decentralized controllers can acquire various characters and flexibility for cooperation.
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title_short	Intelligent Control System Taking Account of Cooperativeness Using Weighting Information on System Objective
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Intelligent Control System Taking Account of Cooperativeness Using Weighting Information on System Objective

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