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.
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Dong, S., Wu, ZG., Shi, P. (2020). Extended Dissipativity-Based Control for Fuzzy Switched Systems with Intermittent Measurements. In: Control and Filtering of Fuzzy Systems with Switched Parameters. Studies in Systems, Decision and Control, vol 268. Springer, Cham. https://doi.org/10.1007/978-3-030-35566-1_6
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DOI: https://doi.org/10.1007/978-3-030-35566-1_6
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