Fixed-Time Robust Neural Learning Control for Nonlinear Strict-Feedback Systems With Prescribed Performance

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dc.contributor.authorWang, X.
dc.contributor.authorYang, L.
dc.contributor.authorXu, B.
dc.contributor.authorChen, W.
dc.contributor.authorShi, P.
dc.date.issued2024
dc.description.abstractThe fixed-time robust neural learning control for nonlinear strict-feedback systems with output constraint and unknown dynamics is investigated in this article. The system nonlinearity is identified using neural network (NN) while the prescribed performance design is employed to avoid the output constraint to be violated. Considering the intelligent approximator only working in an active domain, the smooth switching mechanism is introduced to indicate its effectiveness. Based on the designs of neural approximation and switching signal, a robust adaptive controller is constructed where the NN works in the active domain and the fixed-time robust design works outside of that domain. Especially for the neural update law, the estimation error is constructed based on a state observer and a serial-parallel identification system, even though the real system nonlinearity is not available. The effective neural approximation is achieved while the error signals are ensured to be practical fixed-time stable. Simulation tests are ultimately conducted to demonstrate the validity of the design.
dc.description.statementofresponsibilityXia Wang, Lin Yang, Bin Xu, Weisheng Chen, Peng Shi
dc.identifier.citationInternational Journal of Robust and Nonlinear Control, 2024; 35(3):1269-1280
dc.identifier.doi10.1002/rnc.7720
dc.identifier.issn1049-8923
dc.identifier.issn1049-8923
dc.identifier.orcidShi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]
dc.identifier.urihttps://hdl.handle.net/2440/144216
dc.language.isoen
dc.publisherWiley
dc.relation.granthttp://purl.org/au-research/grants/arc/DP240101140
dc.rights© 2024 John Wiley & Sons Ltd.
dc.source.urihttps://doi.org/10.1002/rnc.7720
dc.subjectestimation error; fixed-time control; neural leaning control; output constraint; switching mechanism
dc.titleFixed-Time Robust Neural Learning Control for Nonlinear Strict-Feedback Systems With Prescribed Performance
dc.typeJournal article
pubs.publication-statusPublished

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