Model Predictive Control For Uncertain Discrete-Time T-S Fuzzy Systems Via Event-Triggered Dynamic Output Feedback Scheme
2018 IEEE 8TH ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER)(2018)
摘要
An event-triggered dynamic output feedback model predictive control method for Takagi-Sugeno(T-S) fuzzy systems with structured uncertainties and bounded disturbances is addressed in this paper. An event-triggered scheme is presented to mitigate the waste of the communication resources due to the unnecessary data packet transmissions. By applying the quadratic boundedness technique and the S-procedure, the parameter dependent fuzzy output feedback controller is presented by online minimizing the upper bound of a quadratic objective function in an infinite time horizon. A numerical example is given to verily the usefulness of the addressed method.
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关键词
parameter dependent fuzzy output feedback controller,uncertain discrete-time T-S fuzzy systems,event-triggered dynamic output feedback model predictive control,Takagi-Sugeno fuzzy systems,structured uncertainties,quadratic boundedness technique,S-procedure,infinite time horizon
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