Neural network–based direct adaptive robust control of unknown MIMO nonlinear systems using state observer

DOI10.1002/acs.3064zbMath1451.93189OpenAlexW2986635188MaRDI QIDQ5128870

Songyong Liu, Ying Zhang, Cheng Cheng, Hongzhuang Wu

Publication date: 26 October 2020

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.3064

zbMATH Keywords

observersliding mode controlneural networkMIMO nonlinear system

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Nonlinear systems in control theory (93C10) Multivariable systems, multidimensional control systems (93C35) Adaptive control/observation systems (93C40) Variable structure systems (93B12) Networked control (93B70) Observers (93B53)

Related Items (2)

Observer‐based adaptive backstepping control and the application for a class of multi‐input multi‐output nonlinear systems with structural uncertainties and perturbations ⋮ Adaptive neural prescribed performance output feedback control of pure feedback nonlinear systems using disturbance observer

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