Hybrid adaptive fuzzy control for uncertain MIMO nonlinear systems with unknown dead-zones

DOI10.1016/j.ins.2015.08.035zbMath1386.93177OpenAlexW1160295086MaRDI QIDQ1750504

Yong-Ming Li, Shao Cheng Tong

Publication date: 22 May 2018

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2015.08.035

zbMATH Keywords

dynamic surface controlserial-parallel estimation modelunknown dead-zonesuncertain MIMO nonlinear systemshybrid adaptive fuzzy control

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Control/observation systems with incomplete information (93C41) Multivariable systems, multidimensional control systems (93C35) Adaptive control/observation systems (93C40)

Related Items (8)

Hybrid adaptive bionic fuzzy control method for MIMO systems with dead-zone input ⋮ Adaptive command-filtered fuzzy backstepping control for linear induction motor with unknown end effect ⋮ Adaptive quantized fuzzy control of stochastic nonlinear systems with actuator dead-zone ⋮ A novel fuzzy sliding-mode control for discrete-time uncertain system ⋮ Dynamic output-feedback control for nonlinear continuous-time systems based on parametric uncertain subsystem and interval type-2 fuzzy model ⋮ Adaptive neural control of MIMO stochastic systems with unknown high-frequency gains ⋮ Adaptive finite-time tracking control of switched nonlinear systems ⋮ Decentralized adaptive neural control for high-order stochastic nonlinear strongly interconnected systems with unknown system dynamics

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