Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Consensus of Multi-Agent Systems under the Special Consensus Protocols
Authors: Konghe Xie
Abstract:
Two consensus problems are considered in this paper. One is the consensus of linear multi-agent systems with weakly connected directed communication topology. The other is the consensus of nonlinear multi-agent systems with strongly connected directed communication topology. For the first problem, a simplified consensus protocol is designed: Each child agent can only communicate with one of its neighbors. That is, the real communication topology is a directed spanning tree of the original communication topology and without any cycles. Then, the necessary and sufficient condition is put forward to the multi-agent systems can be reached consensus. It is worth noting that the given conditions do not need any eigenvalue of the corresponding Laplacian matrix of the original directed communication network. For the second problem, the feedback gain is designed in the nonlinear consensus protocol. Then, the sufficient condition is proposed such that the systems can be achieved consensus. Besides, the consensus interval is introduced and analyzed to solve the consensus problem. Finally, two numerical simulations are included to verify the theoretical analysis.Keywords: Consensus, multi-agent systems, directed spanning tree, the Laplacian matrix.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1129251
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 921References:
[1] R. Olfati-Saber, J. A. Fax, and R. M. Murray, Consensus and cooperation in networked multi-agent systems, Proc. IEEE, vol. 97, no. 1, pp. 215-233, 2007.
[2] Z. K. Li, Z. S. Duan, G. R. Chen, and Huang, L, Consensus of multiagent systems and synchronization of complex networks: a unified viewpoint. IEEE Transactions on Circuits and Systems. I. Regular Papers, vol. 57, no. 1, pp. 213-224, 2010.
[3] Z. K. Li, X. D. Liu, P. Lin, and W, Ren, Consensus of linear multi-agent systems with reduced-order observer-based protocols. Systems and Control Letters, vol. 60, no. 7, pp. 510-516, 2011.
[4] Z. K. Li, W. Ren, X. D. Liu, and L. H. Xie, Distributed consensus of linear multi-agent systems with adaptive dynamic protocols. Automatica, vol. 49, no. 7, pp. 1986-1995, 2013.
[5] Y. M. Xin and Z. S. Cheng, r-consensus control for discrete-time high-order multi-agent systems. IET Control Theory and Applications, vol. 7, no. 17, pp. 2103-2109, 2013.
[6] Y. M. Xin and Z. S. Cheng, r-consensus control for higher-order multi-agent systems with digraph. Asian Journal of Control, vol. 15, no. 5, pp. 1524-1530, 2013.
[7] Y. M. Xin and Z. S. Cheng, Consensus control in linear multiagent systems with current and sampled partial relative states. Asian Journal of Control, vol. 16, no. 4, pp. 1105-1111, 2014.
[8] W. W. Yu, G. R. Chen and M. Cao, Second-Order consensus for multiagent systems with directed topologies and nonlinear dynamics. IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 40, no. 3, pp. 881-891, 2010.
[9] Q. Song, F. Liu, J. D. Cao, and W. W. Yu, Pinning-controllability analysis of complex networks: An M-matrix approach. IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 59, no. 11, pp. 2692-2701, 2012.
[10] Q. Song, F. Liu, J. D. Cao, and W. W. Yu, M-Matrix strategies for pinning-controlled leader-following consensus in multiagent systems with nonlinear dynamics. IEEE Transactions on Cybernetics, vol. 43, no. 6, pp. 1688-1697, 2013.
[11] J. Cortes, Distributed algorithms for reaching consensus on general functions. Automatica, vol. 44, no. 3, pp. 726-737, 2008.
[12] Y. Z. Chen, Y. R. Ge and Y. X. Zhang, Partial stability approach to consensus problem of linear multi-agent Systems. Acta Automatica Sinica, vol. 40, no. 11, pp. 2573-2584, 2014.
[13] H. K. Khalil, Nonlinear Systems, 3rd ed. Englewood Cliffs, NJ: Prentice Hall, 2002.