Robust and Reliable Output Feedback Control for Uncertain Networked Control Systems Against Actuator Faults

In this study, first, a comprehensive model is introduced to model actuator faults, and then a novel fault-tolerant control (FTC) strategy is proposed to compensate the loss of actuator's effectiveness in networked control systems (NCSs). A Markov chain is exploited to represent networked-induced random delays, and data packet dropouts as well as disorders to address the stochastic characteristic of the network issues. Accordingly, the resulting closed-loop system lies in the framework of Markovian jump systems (MJSs). Moreover, partly unknown transition probabilities are considered in the current study since the identification of the exact value of transition probabilities of the Markov chain is difficult or even impractical due to the complex structure of the network. Sufficient conditions for the stochastic stability are derived by means of the solutions of a finite set of linear matrix inequalities (LMIs) to design a novel robust FTC through the output feedback technique, which requires only the outputs. A numerical example and an engineering benchmark system are presented to verify the capability of the proposed method in practical applications.

Automated summary

This study introduces a comprehensive model to model actuator faults and proposes a novel fault-tolerant control strategy for networked control systems. By using a Markov chain to represent network-induced issues, the study derives sufficient conditions for stochastic stability through linear matrix inequalities, designing a robust FTC that requires only output feedback.