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請用此 Handle URI 來引用此文件: http://scholars.ntou.edu.tw/handle/123456789/22876
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dc.contributor.authorMing-Li Chiangen_US
dc.contributor.authorAn-Sheng Liuen_US
dc.contributor.authorLi-Chen Fuen_US
dc.date.accessioned2022-11-01T08:52:28Z-
dc.date.available2022-11-01T08:52:28Z-
dc.date.issued2018-05-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/22876-
dc.description25-27 May 2018 Enshi, Chinaen_US
dc.description.abstractThis paper considers the optimal consensus of multi-agent systems using reinforcement learning control. The system is nonlinear and the number of agents can be large. The control objective is to design the controllers for each agent such that all the agents will be consensus to the leader agent. We use the Actor-Critic Network and the Deterministic Policy Gradient method to realize the controller. The policy iteration algorithm is discussed and many simulations are provided to validate the result.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)en_US
dc.subjectMulti-agent systemsen_US
dc.subjectCost functionen_US
dc.subjectOptimal controlen_US
dc.subjectDynamic programmingen_US
dc.subjectHeuristic algorithmsen_US
dc.subjectConvergenceen_US
dc.titleReinforcement Learning Control for Consensus of the Leader-Follower Multi-Agent Systemsen_US
dc.typeconference paperen_US
dc.relation.conference2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)en_US
dc.identifier.doi10.1109/DDCLS.2018.8516035-
item.openairetypeconference paper-
item.fulltextno fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.languageiso639-1en_US-
crisitem.author.deptDepartment of Electrical Engineering-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.deptCollege of Electrical Engineering and Computer Science-
crisitem.author.parentorgCollege of Electrical Engineering and Computer Science-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
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