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Fuzzy filter design for affine systems with sensor faults: a dynamic event-triggered approach. (English) Zbl 1504.93374

Summary: 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.

MSC:

93E11 Filtering in stochastic control theory
93C42 Fuzzy control/observation systems
93C65 Discrete event control/observation systems
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