dc.contributor.authorGuo, Xiang-Gui
dc.contributor.authorWang, Jian-Liang
dc.contributor.authorLiao, Fang
dc.contributor.authorTeo, Rodney Swee Huat
dc.identifier.citationGuo, X.-G., Wang, J.-L., Liao, F., & Teo, R. S. H. (2018). CNN-based distributed adaptive control for vehicle-following platoon with input saturation. IEEE Transactions on Intelligent Transportation Systems, 19(10), 3121-3132. doi:10.1109/TITS.2017.2772306en_US
dc.description.abstractA neural network-based distributed adaptive approach combined with sliding mode technique is proposed for vehicle-following platoons in the presence of input saturation, unknown unmodeled nonlinear dynamics, and external disturbances. A simple and straightforward strategy by adjusting only a single parameter is proposed to compensate for the effect of input saturation. Two spacing polices (i.e., traditional constant time headway policy and modified constant time headway policy) are used to guarantee string stability and maintain the desired spacing. Chebyshev neural networks (CNN) are used to approximate the unknown nonlinear functions in the followers online, and the implementation of the basic functions of CNN depends only on the leader's velocity and acceleration. Furthermore, unlike existing approaches, the nonlinearities of consecutive vehicles need not satisfy the matching condition. Finally, simulations are carried out to illustrate the effectiveness and the advantage of the proposed methods, first using a numerical example, followed by a practical example of a high speed train platoon.en_US
dc.format.extent11 p.en_US
dc.relation.ispartofseriesIEEE Transactions on Intelligent Transportation Systemsen_US
dc.rights© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TITS.2017.2772306en_US
dc.subjectString Stabilityen_US
dc.subjectActuator Saturationen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleCNN-based distributed adaptive control for vehicle-following platoon with input saturationen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.versionAccepted versionen_US

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