Minimum rational entropy fault tolerant control for non-Gaussian singular stochastic distribution control systems using T-S fuzzy modelling

DOI10.1080/00207721.2018.1526984zbMath1482.93154OpenAlexW2893336775WikidataQ129190657 ScholiaQ129190657MaRDI QIDQ5027854

Lina Yao, Lifan Li

Publication date: 7 February 2022

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2018.1526984

zbMATH Keywords

fault tolerant controlminimum rational entropyrational square-root fuzzy logic modelSDC system

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Fuzzy control/observation systems (93C42) Adaptive control/observation systems (93C40) Stochastic systems in control theory (general) (93E03) Observers (93B53)

Related Items (4)

Adaptive controller based on the affine equivalent model with disturbance rejection for discrete-time switched systems ⋮ Unnamed Item ⋮ Fault diagnosis and fault-tolerant control for T-S fuzzy time-varying delay stochastic distribution systems with actuator and sensor faults ⋮ Experiential and Stochastic Learning Algorithms Based on the Probability of a Fuzzy Event and Modified Fuzzy Metric Distance in Intelligent Robotic Part Micro-Assembly

Cites Work

• Sliding mode control of T-S fuzzy descriptor systems with time-delay
• Bounded dynamic stochastic systems. Modelling and control
• Adaptive fault-tolerant shape control for nonlinear Lipschitz stochastic distribution systems
• A novel approach to output feedback control of fuzzy stochastic systems

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