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Observability of Automata Networks: Fixed and Switching Cases

文献类型：期刊论文

作者Li, Rui1; Hong, Yiguang2; Wang, Xingyuan3
刊名IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
出版日期2018-04-01
卷号29期号:4页码:1388-1394
关键词Automata networks conjugacy observability recurrent neural networks switched systems
ISSN号2162-237X
DOI10.1109/TNNLS.2017.2651053
英文摘要Automata networks are a class of fully discrete dynamical systems, which have received considerable interest in various different areas. This brief addresses the observability of automata networks and switched automata networks in a unified framework, and proposes simple necessary and sufficient conditions for observability. The results are achieved by employing methods from symbolic computation, and are suited for implementation using computer algebra systems. Several examples are presented to demonstrate the application of the results.
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000427859600053
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/29800]  
专题系统科学研究所
通讯作者Li, Rui
作者单位1.Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China
2.Chinese Acad Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
3.Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116024, Peoples R China
推荐引用方式
GB/T 7714		 Li, Rui,Hong, Yiguang,Wang, Xingyuan. Observability of Automata Networks: Fixed and Switching Cases[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2018,29(4):1388-1394.
APA Li, Rui,Hong, Yiguang,&Wang, Xingyuan.(2018).Observability of Automata Networks: Fixed and Switching Cases.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,29(4),1388-1394.
MLA Li, Rui,et al."Observability of Automata Networks: Fixed and Switching Cases".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 29.4(2018):1388-1394.

入库方式： OAI收割

来源：数学与系统科学研究院

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