Fuzzy Tracking Control for Markov Jump Systems With Mismatched Faults by Iterative Proportional–Integral Observers

This article is devoted to the fuzzy fault-tolerant tracking control of Markov jump systems with unknown mismatched faults. To reconstruct faults and system states, a sequence proportional–integral observers are established via outputs. With help structure separation technique, gains observer solved by unified linear matrix inequality framework. Resorting rebuilt states from an iterative estimation algorithm, backstepping-based scheme against make resultant closed-loop be uniformly ultimately bounded. Simulations provided verify effectiveness proposed methods.