Title :
Consensusability of discrete-time multi-agent systems over directed graphs
Author :
You Keyou ; Xie Lihua
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
This paper investigates the joint effect of agent dynamic and directed communication graphs on consensusability of linear discrete-time multi-agent systems under a common control protocol. For single input agent dynamic, a necessary and sufficient condition is given by a simple min-max optimization in terms of the eigenvalues of the graph Laplacian matrix and the topological entropy of the agent dynamic. While for the vector input case, a sufficient condition, which is also necessary for single input, is provided to achieve consensusability. By using non-identical control gain matrices differed by a scaling for each agent, a design method for the optimal scaling is proposed as well. The result recovers the related literature. An illustrative example is finally included to demonstrate the effectiveness of our theoretic results.
Keywords :
directed graphs; discrete time systems; eigenvalues and eigenfunctions; linear systems; matrix algebra; minimax techniques; multi-agent systems; multi-robot systems; directed communication graphs; directed graphs; graph Laplacian matrix eigenvalues; linear discrete-time multiagent systems consensusability; min-max optimization; nonidentical control gain matrices; optimal scaling design method; topological entropy agent dynamic; Eigenvalues and eigenfunctions; Entropy; Laplace equations; Linear matrix inequalities; Multiagent systems; Protocols; Symmetric matrices; Consensusability; Directed graph; Multi-agent systems; Topological entropy;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768