Event‐triggered quantized‐output state estimation for discrete singular Markovian jump systems

Abstract

SummaryThis article concentrates on the event‐triggered (ET) quantized‐output state estimation of discrete‐time singular Markovian jump network systems (DSJNSs) with the disturbance input and interval time‐varying delays. Initially, an augmented DSJNS model with network‐induced delay is established by utilizing the quantized control and ET communication strategies. Then, based on the free‐weighing matrix and stochastic analysis approaches, sufficient conditions are obtained such that a delayed DSJNS is stochastically admissible. Using separation matrix variables, ET quantized state estimators and ET gain matrix parameters are co‐designed to ensure the stochastic admissibility of the DSJNS. Additionally, an electrical circuit example is given to verify the feasibility of the proposed technique.