\(\boldsymbol{H}_\infty\) dynamic observer-based fuzzy integral sliding mode control with input magnitude and rate constraints

DOI10.1016/J.JFRANKLIN.2020.10.038zbMath1455.93043OpenAlexW3095402426MaRDI QIDQ2224766

Mokhtar Shasadeghi, Mohammad Hassan Asemani, Zeinab Echreshavi

Publication date: 4 February 2021

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.10.038

zbMATH Keywords

Takagi-Sugeno fuzzy controlintegral sliding mode controlleruncertain discrete-time nonlinear systems

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41) Multivariable systems, multidimensional control systems (93C35) Discrete-time control/observation systems (93C55) (H^infty)-control (93B36) Variable structure systems (93B12) Observers (93B53)

Related Items (8)

\(H_\infty\) fuzzy observer-based dynamic sliding mode control: unknown input rejection approach ⋮ Asynchronous robust fuzzy event-triggered control of nonlinear systems ⋮ Nonsmooth funnel function-based model-free adaptive sliding-mode control for discrete-time nonlinear systems ⋮ Parameter-dependent functional observer-based finite-time adaptive memory ISMC for continuous LPV systems with unknown nonlinear functions ⋮ A non-fragile robust \(H_\infty\) regulator in discrete-time control systems with nonzero reference ⋮ Optimal non-fragile control design for linear systems under amplitude and rate saturation: an LMI approach ⋮ Sliding mode control for discrete-time singular semi-Markovian jumping models ⋮ Observer-based mixed \(H_{\infty}\)/passive adaptive sliding mode control for semi-Markovian jump system with time-varying delay

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