Local dynamic output feedback control of saturated discrete-time T-S fuzzy systems with partially measured premise variables

Eduardo S. Tognetti and Tássio M. Linhares

International Journal of Systems Science, 2023, vol. 54, issue 14, 2784-2798

Abstract: This paper aims to investigate the problem of designing locally stabilizing dynamic output feedback controllers and estimate the domain of attraction for discrete-time Takagi-Sugeno (T-S) fuzzy systems. A realistic scenario is assumed where the control signal is subject to saturation, and the premise variables are partially or completely unmeasured, that is, not available for the control law. As a result, the fuzzy output controller can have a different number of fuzzy rules and a different set of membership functions from the T-S model. To obtain locally stabilizable conditions, we propose modeling the variation rate of the membership functions without using upper bounds, a new contribution in the context of output control of discrete-time T-S systems. The design conditions are expressed as linear matrix inequality relaxations based on fuzzy Lyapunov functions using slack variables introduced by Finsler's lemma. Numerical examples illustrate the effectiveness of the approach.

Date: 2023
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DOI: 10.1080/00207721.2023.2252548

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