Distributed consensus of heterogeneous multi-agent systems subject to switching topologies and delays
In this paper, the problem of distributed output consensus is investigated for heterogeneous multi-agent systems subject to a class of uncertainties in communication channels. The studied uncertainties, leading to a time-varying communication topology modeled as a Markovian switching communication t...
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| Published in | Journal of the Franklin Institute Vol. 357; no. 11; pp. 6899 - 6917 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elmsford
Elsevier Ltd
01.07.2020
Elsevier Science Ltd |
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| Online Access | Get full text |
| ISSN | 0016-0032 1879-2693 0016-0032 |
| DOI | 10.1016/j.jfranklin.2020.04.045 |
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| Abstract | In this paper, the problem of distributed output consensus is investigated for heterogeneous multi-agent systems subject to a class of uncertainties in communication channels. The studied uncertainties, leading to a time-varying communication topology modeled as a Markovian switching communication topology and delayed transit information, may happen discontinuously and affect the consensus behavior of multi-agent systems. To mitigate the effects of such uncertainties on output consensus, a novel switching distributed control protocol is proposed, aiming to guarantee output consensus of the studied networks in the mean square sense. Moreover, an algorithm is given to select the required controller gains based on the solutions to a Lyapunov inequality and a group of regulator equations. Along this framework, a simulation example on the IEEE 24 Bus System is presented to demonstrate the effectiveness of the algorithm and the theoretical results. |
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| AbstractList | In this paper, the problem of distributed output consensus is investigated for heterogeneous multi-agent systems subject to a class of uncertainties in communication channels. The studied uncertainties, leading to a time-varying communication topology modeled as a Markovian switching communication topology and delayed transit information, may happen discontinuously and affect the consensus behavior of multi-agent systems. To mitigate the effects of such uncertainties on output consensus, a novel switching distributed control protocol is proposed, aiming to guarantee output consensus of the studied networks in the mean square sense. Moreover, an algorithm is given to select the required controller gains based on the solutions to a Lyapunov inequality and a group of regulator equations. Along this framework, a simulation example on the IEEE 24 Bus System is presented to demonstrate the effectiveness of the algorithm and the theoretical results. |
| Author | Li, Guoqi Zhai, Chao Xiao, Gaoxi Meng, Min Wang, Zhen |
| Author_xml | – sequence: 1 givenname: Min surname: Meng fullname: Meng, Min email: minmeng@ntu.edu.sg organization: School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798 – sequence: 2 givenname: Gaoxi surname: Xiao fullname: Xiao, Gaoxi email: egxxiao@ntu.edu.sg organization: School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798 – sequence: 3 givenname: Chao surname: Zhai fullname: Zhai, Chao email: zhaichao@ntu.edu.sg organization: School of Automation, China University of Geosciences, and Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074 China – sequence: 4 givenname: Guoqi surname: Li fullname: Li, Guoqi email: liguoqi@mail.tsinghua.edu.cn organization: Department of Precision Instrument, Center for Brain Inspired Computing Research, Tsinghua University, Beijing 100084, P. R. China – sequence: 5 givenname: Zhen surname: Wang fullname: Wang, Zhen email: zhenwang0@gmail.com organization: School of Mechanical Engineering and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi’an 710072, P. R. China |
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| SubjectTerms | Algorithms Communication Computer simulation Inequality Multiagent systems Network topologies Simulation Switching Topology Uncertainty |
| Title | Distributed consensus of heterogeneous multi-agent systems subject to switching topologies and delays |
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