Optimisation of control and learning actions for a repetitive-control system based on Takagi–Sugeno fuzzy model

DOI10.1080/00207721.2020.1807651zbMath1483.93355OpenAlexW3080734147MaRDI QIDQ5026594

Min Wu, Shengnan Tian, Luefeng Chen, Manli Zhang, Jin-Hua She

Publication date: 8 February 2022

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

Full work available at URL: https://doi.org/10.1080/00207721.2020.1807651

zbMATH Keywords

linear matrix inequalityTakagi-Sugeno (T-S) fuzzy modelrepetitive controlparticle swarm optimisationtwo-dimensional (2D) model

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10)

Related Items (3)

Composite disturbance rejection and tracking control design for fuzzy model based systems with cyber attacks ⋮ Disturbance rejection of T–S fuzzy systems: a membership function-dependent EID method ⋮ Design of equivalent‐input‐disturbance estimator based modified repetitive control with adaptive periodic event‐triggered for time‐varying delay nonlinear systems

Cites Work

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• Robust disturbance rejection for repetitive control systems with time‐varying nonlinearities
• Exponential sampled-data control for T–S fuzzy systems: application to Chua's circuit
• Generalized extended state observer–based repetitive control for systems with mismatched disturbances
• Design of Observer-Based $H_{\infty}$ Robust Repetitive-Control System

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