Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/132274
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Type: Journal article
Title: Finite-time consensus of second-order switched nonlinear multi-agent systems
Author: Zou, W.
Shi, P.
Xiang, Z.
Shi, Y.
Citation: IEEE Transactions on Neural Networks and Learning Systems, 2020; 31(5):1757-1762
Publisher: IEEE
Issue Date: 2020
ISSN: 2162-237X
2162-2388
Statement of
Responsibility: 
Wencheng Zou, Peng Shi, Zhengrong Xiang, Yan Shi
Abstract: In this brief, the practical finite-time consensus (FTC) problem is investigated for the second-order heterogeneous switched nonlinear multi-agent systems (MASs), where the subsystems and the switching signal for each agent are different. Mainly due to that agents’ dynamics are switched and the unknown nonlinearities in the systems are more general, the practical FTC problem of theMASs is rather difficult to be solved by existing methods. As such, a new protocol design framework for the FTC problem is developed. Then, a novel adaptive protocol is proposed for the switched nonlinear MASs based on the developed design framework and the neural network method. The sufficient conditions for the practical FTC of nonlinear MASs under arbitrary switching are given. Finally, a numerical example is presented to demonstrate the effectiveness of the proposed control scheme.
Keywords: Finite-time consensus (FTC); multi-agent systems (MASs); neural networks (NNs); nonlinear systems; switched systems
Rights: © 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
DOI: 10.1109/TNNLS.2019.2920880
Grant ID: http://purl.org/au-research/grants/arc/DP170102644
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Computer Science publications

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