Abstract
This brief investigates the event-triggered output feedback control problem for nonlinear Markov jump systems (NMJSs) with unknown probabilities. The NMJSs with parameter uncertainties are characterized by using the interval type-2 (IT2) fuzzy model. An adaptive event-triggered strategy is utilized to decide when to transmit, which can reduce communication costs. The output feedback controller is designed, where the modes can be allowed different with the system, and the conditional probability matrix does not require completely known. Then, an event-based asynchronous output feedback control approach is proposed for obtaining the required result. With the aid of an example, we demonstrate the effectiveness of the event-based asynchronous output control algorithms.
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