Command-filter-based adaptive neural tracking control for a class of nonlinear MIMO state-constrained systems with input delay and saturation

DOI10.1016/J.NEUNET.2021.12.006zbMath1525.93209OpenAlexW4200190368MaRDI QIDQ6072436

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Publication date: 13 October 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2021.12.006

zbMATH Keywords

adaptive neural controlbarrier Lyapunov functionauxiliary systemcommand filtering backsteppinginput delay and saturation

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Multivariable systems, multidimensional control systems (93C35) Adaptive control/observation systems (93C40) Delay control/observation systems (93C43)

Related Items (3)

Improved disturbance observer-based fixed-time adaptive neural network consensus tracking for nonlinear multi-agent systems ⋮ Command filtered adaptive tracking control of nonlinear systems with prescribed performance under time‐variant parameters and input delay ⋮ Event‐triggered adaptive tracking control for nonlinear systems with input saturation and unknown control directions

Cites Work

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• Adaptive neural control for non-strict-feedback nonlinear systems with input delay
• Dynamic surface control for a class of nonlinear systems
• Reference governor for constrained nonlinear systems
• Command Filtered Backstepping
• Input Delay Compensation for Forward Complete and Strict-Feedforward Nonlinear Systems

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