Event-triggered Predictive Control under Kalman Filtering for Networked Control Systems

Abstract

In this paper, we focus on the schur stability of networked control systems (NCSs) with time delay and random noise. Firstly, in order to reduce the transmission pressure of network bandwidth, a novel output-based event-triggering mechanism (ETM) is proposed to select and update the actual output value. Secondly, constructing a Kalman filtering based on actual output value to achieve the optimal estimation of the system state, so that it mitigates the impact of noise interference on the system. Moreover, the predictive control scheme is considered to solve the delay problem induced by network transmission. Simultaneously, we realize the schur stability of stochastic networked delay system by combining the proposed ETM and predictive control scheme. Finally, a simulation example verifies the feasibility and validity of the obtained results.