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典型文献
Fuzzy Filter Design for Affine Systems with Sensor Faults:A Dynamic Event-Triggered Approach
文献摘要:
This study addresses the issue of dynamic event-triggered-based filtering for fuzzy affine systems.To alleviate the utilization of constraint bandwidth resources and improve the efficiency of the signals exchange,a dynamic event-triggered protocol is forwarded to regulate the trigger instants with objective system states.Meanwhile,the nonhomogeneous Markov process is proposed to characterize the dynamic behaviors of sensor faults,where the time-varying transition probabilities belong to a convex polytope set.Finally,the validity and applicability of devised filter design methodology for fuzzy affine systems are displayed via two practical models.
文献关键词:
作者姓名:
CHENG Jun;WU Yuyan;WU Zhengguang;LI Kezan
作者机构:
School of Mathematics and Statistics,Center for Applied Mathematics of Guangxi,Guangxi Normal Univer-sity,Guilin 541006,China;School of Mathematics and Statistics,Guangxi Normal University,Guilin 541006,China;School of Informa-tion Science and Engineering,Chengdu University,Chengdu 610106,China;Institute of Cyber-Systems and Control,Zhejiang University,Hangzhou 310027,China;School of Mathematics and Computing Science,Guilin University of Electronic Technology,Guilin 541004,China
引用格式:
[1]CHENG Jun;WU Yuyan;WU Zhengguang;LI Kezan-.Fuzzy Filter Design for Affine Systems with Sensor Faults:A Dynamic Event-Triggered Approach)[J].系统科学与复杂性学报(英文版),2022(05):1761-1784
A类:
B类:
Fuzzy,Filter,Design,Affine,Systems,Sensor,Faults,Dynamic,Event,Triggered,Approach,This,study,addresses,issue,dynamic,event,triggered,filtering,fuzzy,affine,systems,To,alleviate,utilization,constraint,bandwidth,resources,improve,efficiency,signals,exchange,protocol,forwarded,regulate,instants,objective,states,Meanwhile,nonhomogeneous,Markov,process,proposed,characterize,behaviors,sensor,faults,where,varying,transition,probabilities,belong,convex,polytope,set,Finally,validity,applicability,devised,design,methodology,are,displayed,two,practical,models
AB值:
0.751955
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