Presentation 2010-06-22
An Optimal Supervisory Control for Decentralized Discrete Event System based on Reinforcement Learning
Kouji KAJIWARA, Tatsushi YAMASAKI,
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Abstract(in English) In our previous work, we have proposed a generalized framework of optimal supervisory control based on reinforcement learning. Then, we introduced weight functions to value functions and showed various types of supervisors. This paper proposes the optimal supervisory control for a decentralized system based on reinforcement learning. We model a Decentralized Discrete Event System (DDES) which consists of several local DESs. Each local DES and the supervisor have preferences for the behavior. So, we introduce preference functions to represent them and the new value functions based on the preference functions. A supervisor learns how to assign the control pattern based on the reinforcement learning so as to maximize value functions. We show the efficiency of the proposed method by computer simulation.
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Keyword(in English) discrete event systems / supervisory control / reinforcement learning / decentralized system / optimal control
Paper # CAS2010-26,VLD2010-36,SIP2010-47,CST2010-26
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Committee VLD
Conference Date 2010/6/14(1days)
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Registration To VLSI Design Technologies (VLD)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Optimal Supervisory Control for Decentralized Discrete Event System based on Reinforcement Learning
Sub Title (in English)
Keyword(1) discrete event systems
Keyword(2) supervisory control
Keyword(3) reinforcement learning
Keyword(4) decentralized system
Keyword(5) optimal control
1st Author's Name Kouji KAJIWARA
1st Author's Affiliation Graduate School of Engineering, Setsunan University()
2nd Author's Name Tatsushi YAMASAKI
2nd Author's Affiliation Graduate School of Engineering, Setsunan University
Date 2010-06-22
Paper # CAS2010-26,VLD2010-36,SIP2010-47,CST2010-26
Volume (vol) vol.110
Number (no) 87
Page pp.pp.-
#Pages 6
Date of Issue