Presentation 2002/3/8
Effectiveness and limitation of a method for control of chaos with reinforcement learning and its application to a simple chaotic neural network
Norihisa SATOU, Hitoaki UTUMI, Masaharu ADACHI,
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Abstract(in English) In this article, the effectiveness of a method for control of chaos with reinforcement learning proposed by Gadaleta et al. is examined for several chaotic systems. We find that a simpler reinforcement learning than the Gadaleta's method can stabilize relatively simple chaotic maps. It is shown that the Gadaleta's method succeeds to stabilize a simple chaotic neural network. However, an example is given that it is hard to stabilize relatively complex map by the Gadaleta's method.
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Keyword(in English) control of chaos / reinforcement lerning / chaotic neural networks
Paper # NLP2001-118
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Conference Information
Committee NLP
Conference Date 2002/3/8(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Effectiveness and limitation of a method for control of chaos with reinforcement learning and its application to a simple chaotic neural network
Sub Title (in English)
Keyword(1) control of chaos
Keyword(2) reinforcement lerning
Keyword(3) chaotic neural networks
1st Author's Name Norihisa SATOU
1st Author's Affiliation Department of Electronic Engineering,Graduate School of Engineering ,Tokyo Denki University()
2nd Author's Name Hitoaki UTUMI
2nd Author's Affiliation Department of Electronic Engineering, College of Engineering, Tokyo Denki University
3rd Author's Name Masaharu ADACHI
3rd Author's Affiliation Department of Electronic Engineering,Graduate School of Engineering ,Tokyo Denki University
Date 2002/3/8
Paper # NLP2001-118
Volume (vol) vol.101
Number (no) 723
Page pp.pp.-
#Pages 6
Date of Issue