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Stochastic intermittent fault-tolerant control for T-S fuzzy systems with aperiodic sampling information.

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Title: Stochastic intermittent fault-tolerant control for T-S fuzzy systems with aperiodic sampling information.
Authors: Kuppusamy, Subramanian1 (AUTHOR), Jeong, JaeHoon1,2 (AUTHOR) jh7129@kunsan.ac.kr
Source: Mathematics & Computers in Simulation. Aug2026, Vol. 246, p633-644. 12p.
Subjects: Fault-tolerant control systems, Irregular sampling (Signal processing), Fuzzy control systems, Stochastic control theory, Linear matrix inequalities, Lyapunov functions
Abstract: This article proposes a stochastic intermittent fault-tolerant control scheme for Takagi–Sugeno (T-S) fuzzy system with aperiodic sampled-data information through a refined fractional-delayed state approach. The aperiodic sampling intervals are time-varying with an upper bound, providing greater flexibility and practical relevance than classical periodic sampling. To fully exploit the fractional-delayed state information across the entire sampling interval, a modified looped functional-based Lyapunov-Krasovskii functional (LKF) with two adjustable parameters is developed. Additionally, the structure incorporates the characteristics of membership functions and sampling patterns via a fuzzy-dependent switching scheme, enhancing design flexibility. Based on this LKF, the stabilization criteria for the T-S fuzzy systems are derived and formulated as linear matrix inequalities (LMIs) under the designed control scheme. The control gains are subsequently obtained by solving these LMIs. Finally, numerical examples are presented to demonstrate the effectiveness and advantages of the proposed method. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:This article proposes a stochastic intermittent fault-tolerant control scheme for Takagi–Sugeno (T-S) fuzzy system with aperiodic sampled-data information through a refined fractional-delayed state approach. The aperiodic sampling intervals are time-varying with an upper bound, providing greater flexibility and practical relevance than classical periodic sampling. To fully exploit the fractional-delayed state information across the entire sampling interval, a modified looped functional-based Lyapunov-Krasovskii functional (LKF) with two adjustable parameters is developed. Additionally, the structure incorporates the characteristics of membership functions and sampling patterns via a fuzzy-dependent switching scheme, enhancing design flexibility. Based on this LKF, the stabilization criteria for the T-S fuzzy systems are derived and formulated as linear matrix inequalities (LMIs) under the designed control scheme. The control gains are subsequently obtained by solving these LMIs. Finally, numerical examples are presented to demonstrate the effectiveness and advantages of the proposed method. [ABSTRACT FROM AUTHOR]
ISSN:03784754
DOI:10.1016/j.matcom.2026.02.032