Hybrid Dynamic Variables-Dependent Event-Triggered Fuzzy Model Predictive ControlOA北大核心CSTPCD
Hybrid Dynamic Variables-Dependent Event-Triggered Fuzzy Model Predictive Control
Xiongbo Wan;Chaoling Zhang;Fan Wei;Chuan-Ke Zhang;Min Wu
School of Automation,China University of Geosciences,the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems,and the Engineering Research Center of Intelligent Technology for Geo-Exploration,Ministry of Education,Wuhan 430074,ChinaSchool of Automation,China University of Geosciences,the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems,and the Engineering Research Center of Intelligent Technology for Geo-Exploration,Ministry of Education,Wuhan 430074,ChinaSchool of Automation,China University of Geosciences,the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems,and the Engineering Research Center of Intelligent Technology for Geo-Exploration,Ministry of Education,Wuhan 430074,ChinaSchool of Automation,China University of Geosciences,the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems,and the Engineering Research Center of Intelligent Technology for Geo-Exploration,Ministry of Education,Wuhan 430074,ChinaSchool of Automation,China University of Geosciences,the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems,and the Engineering Research Center of Intelligent Technology for Geo-Exploration,Ministry of Education,Wuhan 430074,China
Dynamic event-triggered mechanism(DETM)hybrid dynamic variablesmodel predictive control(MPC)robust positive invariant(RPI)setT-S fuzzy systems
Dynamic event-triggered mechanism(DETM)hybrid dynamic variablesmodel predictive control(MPC)robust positive invariant(RPI)setT-S fuzzy systems
《自动化学报（英文版）》 2024 (3)
723-733,11
This work was supported by the National Natural Science Foundation of China(62073303,61673356),Hubei Provincial Natural Science Foundation of China(2015CFA010),and the 111 Project(B17040).
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