Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/232995
Title: Leader-Following Consensus of Nonlinear Multiagent Systems With Stochastic Sampling
Authors: Wangli He;Biao Zhang;Qing-Long Han;Feng Qian;J&x00FC;rgen Kurths;Jinde Cao
Year: 2017
Publisher: IEEE
Abstract: This paper is concerned with sampled-data leader-following consensus of a group of agents with nonlinear characteristic. A distributed consensus protocol with probabilistic sampling in two sampling periods is proposed. First, a general consensus criterion is derived for multiagent systems under a directed graph. A number of results in several special cases without transmittal delays or with the deterministic sampling are obtained. Second, a dimension-reduced condition is obtained for multiagent systems under an undirected graph. It is shown that the leader-following consensus problem with stochastic sampling can be transferred into a master-slave synchronization problem with only one master system and two slave systems. The problem solving is independent of the number of agents, which greatly facilitates its application to large-scale networked agents. Third, the network design issue is further addressed, demonstrating the positive and active roles of the network structure in reaching consensus. Finally, two examples are given to verify the theoretical results.
URI: http://localhost/handle/Hannan/232995
volume: 47
issue: 2
More Information: 327,
338
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7407343.pdf7.19 MBAdobe PDF
Title: Leader-Following Consensus of Nonlinear Multiagent Systems With Stochastic Sampling
Authors: Wangli He;Biao Zhang;Qing-Long Han;Feng Qian;J&x00FC;rgen Kurths;Jinde Cao
Year: 2017
Publisher: IEEE
Abstract: This paper is concerned with sampled-data leader-following consensus of a group of agents with nonlinear characteristic. A distributed consensus protocol with probabilistic sampling in two sampling periods is proposed. First, a general consensus criterion is derived for multiagent systems under a directed graph. A number of results in several special cases without transmittal delays or with the deterministic sampling are obtained. Second, a dimension-reduced condition is obtained for multiagent systems under an undirected graph. It is shown that the leader-following consensus problem with stochastic sampling can be transferred into a master-slave synchronization problem with only one master system and two slave systems. The problem solving is independent of the number of agents, which greatly facilitates its application to large-scale networked agents. Third, the network design issue is further addressed, demonstrating the positive and active roles of the network structure in reaching consensus. Finally, two examples are given to verify the theoretical results.
URI: http://localhost/handle/Hannan/232995
volume: 47
issue: 2
More Information: 327,
338
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7407343.pdf7.19 MBAdobe PDF
Title: Leader-Following Consensus of Nonlinear Multiagent Systems With Stochastic Sampling
Authors: Wangli He;Biao Zhang;Qing-Long Han;Feng Qian;J&x00FC;rgen Kurths;Jinde Cao
Year: 2017
Publisher: IEEE
Abstract: This paper is concerned with sampled-data leader-following consensus of a group of agents with nonlinear characteristic. A distributed consensus protocol with probabilistic sampling in two sampling periods is proposed. First, a general consensus criterion is derived for multiagent systems under a directed graph. A number of results in several special cases without transmittal delays or with the deterministic sampling are obtained. Second, a dimension-reduced condition is obtained for multiagent systems under an undirected graph. It is shown that the leader-following consensus problem with stochastic sampling can be transferred into a master-slave synchronization problem with only one master system and two slave systems. The problem solving is independent of the number of agents, which greatly facilitates its application to large-scale networked agents. Third, the network design issue is further addressed, demonstrating the positive and active roles of the network structure in reaching consensus. Finally, two examples are given to verify the theoretical results.
URI: http://localhost/handle/Hannan/232995
volume: 47
issue: 2
More Information: 327,
338
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7407343.pdf7.19 MBAdobe PDF