Reliable filtering for Markovian Jump System Under the Networked Control System

In this article, first of all, there is the concern of reliable H
_∞
-filters for the markovian jump system (MJS) that have sensor defects under event-triggered scheme. 1) To estimate the nonlinear dynamics of the system, a MJS is considered. To describe the sensor defect a set of stochastic variable is considered. 2) To enhance the utilization of available bandwidth the event-trigged scheme (ETS) has been introduced in the networked control system and has some benefits over some current ones. The ETS transmits sensor data to the event only when the measurement of the sample object violates the condition of a particular event. After which, taking into account the consequences of ET scheme and sensor errors, an event-based filter based system is created for the Markovian jump system. Important conditions are set in terms of linear matrix inequality (LMI) for the development of the intended filter. To validate the design process, a numerical example is given.