Proportional-Integral Observer-Based Fault-Tolerant Control for Markov Jump Systems with Partially Unknown Transition Probabilities

In this paper, the problem of fault-tolerant control (FTC) is researched for a class of Markov jump systems in the presence of partially unknown transition probabilities. A proportional-integral observer is designed to simultaneously estimate faults, system states, and measurement disturbances. Then, a FTC strategy is put forward to guarantee that the closed-loop system is asymptotically bounded in mean square. The effectiveness of the FTC scheme is confirmed by simulation results.