Distributed consensus of large-scale multi-agent systems via linear-transformation-based partial stability approach

作者：Qu, Xiaojun; Chen, Yangzhou^*; Aleksandrov, A. Yu.; Dai, Guiping

来源：Neurocomputing, 2017, 222: 54-61.

DOI：10.1016/j.neucom.2016.10.011

• Consensus
• Multi-agent systems
• State-linear-transformation
• Partial stability

This paper investigates the consensus problem of large-scale multi-agent systems (MASs) with a directed communication topology, especially for the MAS whose topology contains small strongly connected components. A sufficient and necessary consensus criterion is proposed through the combination of two methods. Firstly, a communication searching algorithm is utilized to make sure that each agent obtains the local topology information of strongly connected component where it is located. Secondly, a state-linear-transformation decomposes the consensus problem into a group of stability problems based on the strongly connected components. The corresponding consensus criterion reduces the computational complexity. Moreover, according to the consensus criterion, a distributed design procedure of gain matrices is proposed based on the homotopy method.

• 出版日期2017-1-26
• 单位北京工业大学