Formation-containment control of sampled-data second-order multi-agent systems with sampling delay

2018 ◽  
Vol 40 (16) ◽  
pp. 4369-4381 ◽  
Author(s):  
Baojie Zheng ◽  
Xiaowu Mu

The formation-containment control problems of sampled-data second-order multi-agent systems with sampling delay are studied. In this paper, we assume that there exist interactions among leaders and that the leader’s neighbours are only leaders. Firstly, two different control protocols with sampling delay are presented for followers and leaders, respectively. Then, by utilizing the algebraic graph theory and matrix theory, several sufficient conditions are obtained to ensure that the leaders achieve a desired formation and that the states of the followers converge to the convex hull formed by the states of the leaders, i.e. the multi-agent systems achieve formation containment. Furthermore, an explicit expression of the formation position function is derived for each leader. An algorithm is provided to design the gain parameters in the protocols. Finally, a numerical example is given to illustrate the effectiveness of the obtained theoretical results.

2017 ◽  
Vol 13 (7) ◽  
pp. 155014771772251 ◽  
Author(s):  
Weizheng Huang ◽  
Wenfeng Zheng ◽  
Lipo Mo

In this article, the distributed [Formula: see text] composite-rotating consensus problem is concerned for a class of second-order multi-agent systems. First, based on local state feedback and communication feedback, a distributed control algorithm is proposed. Then, sufficient conditions are derived in order to make all agents reach a composite-rotating consensus with the desired [Formula: see text] performance. Finally, the simulations are given to show the effectiveness of the theoretical results.


2018 ◽  
Vol 41 (3) ◽  
pp. 828-841 ◽  
Author(s):  
Hong-Xiao Zhang ◽  
Li Ding ◽  
Zhi-Wei Liu

In the paper, schooling problems based on containment control in multi-agent systems that have static or dynamic leaders under directed and undirected communication topologies are investigated. We propose a periodic impulsive containment control algorithm to realize schooling in multi-agent systems. Both ideal and quantized relative state measurements are considered under this framework. Some necessary and sufficient conditions, which depend on the eigenvalues of the Laplacian matrix that is associated with the communication graph, the impulsive period as well as the gain parameters, are obtained to realize the containment control of schooling. Finally, some numerical simulations are illustrated to verify the theoretical results.


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