A neural network approach for tracking control of uncertain switched nonlinear systems with unknown dead-zone input

DOI10.1007/s00034-015-9971-1zbMath1341.93049OpenAlexW2110670095MaRDI QIDQ736956

Gang Yang, Lei Yu, Shu-Min Fei

Publication date: 5 August 2016

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-015-9971-1

zbMATH Keywords

switched nonlinear systemsswitching signaladaptive neural tracking controldead-zone input

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30)

Related Items (8)

Adaptive fuzzy output-feedback control for switched nonlinear systems with arbitrary switchings ⋮ Sliding mode switching control of manipulators based on disturbance observer ⋮ Adaptive tracking control for non-affine nonlinear systems with non-affine function possibly being discontinuous ⋮ Model reference tracking control of an aircraft: a robust adaptive approach ⋮ An adaptive neural network-based controller for car driving simulators ⋮ Adaptive dynamic surface control of nonlinear switched systems with prescribed performance ⋮ Stability analysis based on partition trajectory approach for switched neural networks with fractional Brown noise disturbance ⋮ Observer-based adaptive NN control for uncertain nonlinear systems with prescribed performance and fuzzy dead-zone input

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