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Automated GPC tuning based on fuzzy logic and event triggered mechanism

This paper proposes a fresh method for generalized predictive control (GPC) tuning of multiple-input-multiple-output (MIMO) system based on fuzzy logic and event triggered mechanism. The slope of the system output is considered as a new fuzzy target parameter to build the fuzzy logic algorithm, based on which an improved fuzzy logic based GPC online tuning method can be achieved. Simultaneously, in order to release the computation and communication resources associated with the online tuning of the GPC parameter, this paper further introduce the event-triggered mechanism (ETM) to avoid the redundant updates. Finally, the effectiveness of the method is verified via a machine-furnace coordination system.