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Receding Horizon Based Feedback Optimization for Mix-Valued Logical Networks

文献类型：期刊论文

作者Cheng, Daizhan; Zhao, Yin; Xu, Tingting
刊名IEEE TRANSACTIONS ON AUTOMATIC CONTROL
出版日期2015-12-01
卷号60期号:12页码:3362-3366
关键词Discount factor mix-valued logical network optimization receding horizon control
ISSN号0018-9286
DOI10.1109/TAC.2015.2419874
英文摘要The optimization of mix-valued probabilistic logical networks is a natural extension of optimization of Boolean networks. In this study we have first obtained a recursive solution for the finite horizon case. Then we have proved that when the filter length is large enough, the obtained optimal control sequence coincides with the one for the infinite horizon case using the reeding horizon technique. This result turns searching an infinite sequence of controls into finding an optimal feedback matrix by solving a finite horizon optimization problem. As examples, its applications to human-machine game and to metastatic melanoma are investigated.
资助项目National Natural Science Foundation (NNSF) of China[61074114] ; National Natural Science Foundation (NNSF) of China[61273013] ; National Natural Science Foundation (NNSF) of China[61333001]
WOS研究方向Automation & Control Systems ; Engineering
语种英语
WOS记录号WOS:000367284600028
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/21646]  
专题系统科学研究所
通讯作者Cheng, Daizhan
作者单位Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Inst Syst Sci, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Cheng, Daizhan,Zhao, Yin,Xu, Tingting. Receding Horizon Based Feedback Optimization for Mix-Valued Logical Networks[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL,2015,60(12):3362-3366.
APA Cheng, Daizhan,Zhao, Yin,&Xu, Tingting.(2015).Receding Horizon Based Feedback Optimization for Mix-Valued Logical Networks.IEEE TRANSACTIONS ON AUTOMATIC CONTROL,60(12),3362-3366.
MLA Cheng, Daizhan,et al."Receding Horizon Based Feedback Optimization for Mix-Valued Logical Networks".IEEE TRANSACTIONS ON AUTOMATIC CONTROL 60.12(2015):3362-3366.

入库方式： OAI收割

来源：数学与系统科学研究院

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