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- W2990816963 abstract "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." @default.
- W2990816963 created "2019-12-05" @default.
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- W2990816963 date "2019-11-26" @default.
- W2990816963 modified "2023-09-23" @default.
- W2990816963 title "Extended Dissipativity-Based Control for Fuzzy Switched Systems with Intermittent Measurements" @default.
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- W2990816963 doi "https://doi.org/10.1007/978-3-030-35566-1_6" @default.
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