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dc.contributor.authorSu, Hanguang
dc.contributor.authorLiu, Fan
dc.contributor.authorXu, Shanyong
dc.contributor.authorZhang, Huaguang
dc.contributor.authorWei, Qinglai
dc.contributor.authorSong, Ruizhuo
dc.contributor.authorWang, Jiawei
dc.date.accessioned2026-08-20T11:19:51Z
dc.date.available2026-08-20T11:19:51Z
dc.date.copyright2025/12/23
dc.date.issued2026
dc.identifier.otherJLEED9.EYENG-6466.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312039
dc.description.abstractAbstractThis paper proposes an integral reinforcement learning (IRL)-based optimal control method to solve the nonzero-sum (NZS) game problem of DC microgrids with partially unknown dynamics under the dynamic event-triggered mechanism. Initially, the ...
dc.publisherAmerican Society of Civil Engineers
dc.titleDynamic Event-Triggered IRL Algorithms for Nonzero-Sum Games of DC Microgrids
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue2
dc.journal.titleJournal of Energy Engineering
dc.identifier.doi10.1061/JLEED9.EYENG-6466
dc.journal.fristpage04025114-1
dc.journal.lastpage04025114-13
dc.page13
dc.treeJournal of Energy Engineering:;2026:;Volume ( 152 ):;issue: 002
dc.contenttypeFulltext


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