Extended Dissipativity-Based Control for Fuzzy Switched Systems with Intermittent Measurements

Because of sensor constraints, we may be unable to directly measure the state information. Thus, the state feedback control may lose its function [1]. Instead, the work in [2] has designed the output feedback controller without using mode information to address the infinite-horizon optimal control problem for MJSs. In this chapter, we investigate the asynchronous output feedback control problem for networked fuzzy switched systems with a desired extended dissipative performance by adopting the HMM principle. In practice, the communication channels in networked control systems are often imperfect, where data packets drop intermittently and inevitably [3]. We apply a stochastic Bernoulli process to model this random phenomenon [4]. The Lyapunov function is adopted to obtain sufficient conditions such that the closed-loop system is stochastically stable with a satisfactory extended dissipativity. The desired asynchronous output feedback controller gains can be achieved by solving a set of matrix inequalities.