Event-triggered adaptive consensus for stochastic multi-agent systems with saturated input and partial state constraints

dc.contributor.authorZhao, Yong
dc.contributor.authorYu, Hui
dc.contributor.authorXia, Xiaohua
dc.date.accessioned2023-08-15T12:52:25Z
dc.date.issued2022-07
dc.description.abstractThis paper is concerned with the consensus tracking problem of stochastic multi-agent systems with both output, partial state constraints, and input saturation via event-triggered strategy. To handle with the saturated control inputs, the saturation function is transformed into a linear form of the control input. By using radial basis function neural network to approximate the unknown nonlinear function, the unmeasurable states are acquired by an adaptive observer. To ensure that the constraints of system outputs and partial states are never violated, an appropriate time-varying barrier Lyapunov function is constructed. The control scheme is event-triggered in order to save communication resources. The proposed distributed controller can guarantee the boundedness of all system signals, the consensus tracking with a small bounded error, and the avoidance of the Zeno behavior by using backstepping techniques. The validity of the theoretical results is verified by computer simulation.en_US
dc.description.departmentElectrical, Electronic and Computer Engineeringen_US
dc.description.embargo2024-05-05
dc.description.librarianhj2023en_US
dc.description.urihttp://www.elsevier.com/locate/insen_US
dc.identifier.citationZhao, Y., Yu, H. & Xia, X.H. 2022, 'Event-triggered adaptive consensus for stochastic multi-agent systems with saturated input and partial state constraints', Information Sciences, vol. 603, pp. 16-41, doi : 10.1016/j.ins.2022.04.035.en_US
dc.identifier.issn0020-0255 (print)
dc.identifier.issn1872-6291 (online)
dc.identifier.other10.1016/j.ins.2022.04.035
dc.identifier.urihttp://hdl.handle.net/2263/91927
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2022 Elsevier Inc. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Information Sciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Information Sciences, vol. 603, pp. 16-41, doi : 10.1016/j.ins.2022.04.035.en_US
dc.subjectMulti-agent systemsen_US
dc.subjectStochastic systemen_US
dc.subjectConsensusen_US
dc.subjectEvent-triggered controlen_US
dc.subjectPartial state constraintsen_US
dc.subjectSaturated controlen_US
dc.titleEvent-triggered adaptive consensus for stochastic multi-agent systems with saturated input and partial state constraintsen_US
dc.typePostprint Articleen_US

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