Stochastic Stability Analysis for Networked Markov Jump System

In the paper, we describe development and implementation of reliable H∞filters for a class Networked Markov Jump Systems (NMJS) with random sensor failures that are triggered by events. The plant's nonlinear dynamic is approximated NMJS. Failures sensors described using stochastic variables. Event-Triggered Mechanism (ETM) introduced to NCS, which offers some positive points over other schemes. Using event-triggered mechanism, data from plant will be only transmitted if it contradicts specified condition. By considering effects an ETM faults, event-based filter developed design parameters as well sufficient conditions its existence given accurately based on Linear Matrix Inequality (LMI).