Robust predictive Control for Networked Control Systems with Access Constraints

Pan Zhang

doi:10.23977/jeis.2022.070101

Abstract

Based on the rolling horizon optimization strategy, the networked robust predictive control with medium access constraints and packet loss is studied. Firstly, considering the influence of network factors such as medium access constraints and packet loss, Markov jump rule and Bernoulli independent and identically distributed process are used to transform the network problem into the robust problem of networked control system. According to the established Markov jump system model and stability analysis, a robust predictive controller for networked control systems is designed by using linear matrix inequality (LMI) method, which makes the system asymptotically stable. Finally, a numerical example is given to verify the effectiveness of the proposed control method.Networked control system; medium access constraints; packet loss; robust predictive controller.

Highlights

Networked control system is more and more widely used in our real life
A numerical example is given to verify the effectiveness of the proposed control method.Networked control system; medium access constraints; packet loss; robust predictive controller
In this paper, considering the influence of network factors such as medium access constraints and packet loss, the network problem is transformed into the robustness problem of networked control system by using Markov jump rule and Bernoulli independent identically distributed process

Summary

Introduction

Networked control system is more and more widely used in our real life. It is a closed-loop control system formed by sensors, controllers and actuators through real-time network[1]. The problems of media access constraints and packet loss in networked control system are very common. The authors of [6] studies the minimum data rate problem of networked control systems under media access constraints. The authors of [8] studies the event triggered collaborative design method of nonlinear networked control systems with medium access constraints. The data packet loss is described by Bernoulli random process, and a fuzzy dynamic output feedback controller is designed to ensure the stability of the system. In this paper, considering the influence of network factors such as medium access constraints and packet loss, the network problem is transformed into the robustness problem of networked control system by using Markov jump rule and Bernoulli independent identically distributed process. According to the established Markov jump system model and stability analysis, a robust predictive controller for networked control system is designed by using linear matrix inequality method, so that the system can reach asymptotic stability

Model establishment

Stability analysis

Robust predictive controller design

Simulation example

Conclusions