Fault-tolerant H∞ filtering for fuzzy networked control systems with quantisation effects

V. Nithya, R. Sakthivel, Faris Alzahrani and Y.-K. Ma

International Journal of Systems Science, 2020, vol. 51, issue 7, 1149-1161

Abstract: The issue of $H_{\infty } $H∞ memory filter design is investigated for a class of discrete-time Takagi–Sugeno (T-S) fuzzy networked control systems with time-varying delay and quantisation effects. The main objective of this paper is to formulate an $H_{\infty } $H∞ memory filter that can guarantee the resulting filtering error system to be finite-time bounded. Further, by considering the communication limitations, the state signals are quantised before transmission through a logarithmic quantiser and the quantisation error is considered in the filter design. In particular, the quantisation effects are dealt by employing the generalised sector bound approach. Based on Lyapunov stability theory, novel sufficient constraints are established in the form of linear matrix inequalities, to ensure the finite-time boundedness of the augmented filtering error system. Then, a new fault-tolerant $H_{\infty } $H∞ memory filter is formulated and also the filter gain parameters are attained by solving the derived LMI based constraints. Finally, a numerical example is furnished to support the efficacy and applicability of the developed filter design.

Date: 2020
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DOI: 10.1080/00207721.2020.1752416

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