Dissipativity-Based Reliable Control for Fuzzy Markov Jump Systems With Actuator Faults
针对带有马尔可夫跳变参数的Takagi-Sugeno模糊系统，考虑执行器故障影响，提出一种可靠耗散控制方法，保证闭环系统随机稳定且严格耗散，并通过仿真验证有效性。
This paper is concerned with the problem of reliable dissipative control for Takagi-Sugeno fuzzy systems with Markov jumping parameters. Considering the influence of actuator faults, a sufficient condition is developed to ensure that the resultant closed-loop system is stochastically stable and strictly ( Q, S,R )-dissipative based on a relaxed approach in which mode-dependent and fuzzy-basis-dependent Lyapunov functions are employed. Then a reliable dissipative control for fuzzy Markov jump systems is designed, with sufficient condition proposed for the existence of guaranteed stability and dissipativity controller. The effectiveness and potential of the obtained design method is verified by two simulation examples.