Cooperative Consensus Tracking of Heterogeneous Interdependent Group Systems

被引：0
|
作者：
Pei H.-Q. [1 ,2 ]
Chen S.-M. [1 ]
Lai Q. [1 ]
Chen Q. [1 ]
机构：
[1] School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang
[2] School of Electronic and Information, Nanchang Institute of Technology, Nanchang
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2018年 / 44卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Consensus tracking; Distributed control; Group system; Interdependent model;
D O I：
10.16383/j.aas.2017.c160852
中图分类号：
学科分类号：
摘要：
The consensus tracking problem is investigated for heterogeneous interdependent group systems with fixed communication topologies. Firstly, an interdependent model of the heterogeneous system is built from the perspective of individual characteristic difference and sub-group topology structure difference. A class of distributed consensus tracking control protocols are proposed for realizing consensus tracking of heterogeneous interdependent group systems using local information. Then, for fixed communication topologies, some corresponding sufficient conditions are given to ensure the achievement of consensus tracking. Parameter Pr is defined to denote the proportion of interdependent individuals, whose effect on the consensus tracking of group systems is analyzed. Numerical simulations are provided to illustrate the effectiveness of the theoretical result. Copyright © 2018 Acta Automatica Sinica. All rights reserved.
引用
收藏
页码：1528 / 1536
页数：8
相关论文
共 30 条
  • [1] You K.Y., Li Z.K., Xie L.H., Consensus condition for linear multi-agent systems over randomly switching topologies, Automatica, 49, 10, pp. 3125-3132, (2013)
  • [2] Liu Z.W., Guan Z.H., Shen X.M., Fang G., Consensus of multi-agent networks with aperiodic sampled communication via impulsive algorithms using position-only measurements, IEEE Transactions on Automatic Control, 57, 10, pp. 2639-2643, (2012)
  • [3] Pei H.Q., Chen S.M., Lai Q., A local flocking algorithm of multi-agent dynamic systems, International Journal of Control, 88, 11, pp. 2242-2249, (2015)
  • [4] Xu G.H., Guan Z.H., He D.X., Chi M., Wu Y.H., Distributed tracking control of second-order multi-agent systems with sampled data, Journal of the Franklin Institute, 351, 10, pp. 4786-4801, (2014)
  • [5] Zou L., Wang Z.D., Gao H.J., Observer-based H<sub>∞</sub> control of networked systems with stochastic communication protocol: the finite-horizon case, Automatica, 63, pp. 366-373, (2016)
  • [6] Meng Z.Y., Lin Z.L., Ren W., Robust cooperative tracking for multiple non-identical second-order nonlinear systems, Automatica, 49, 8, pp. 2363-2372, (2013)
  • [7] Wu Y.Q., Su H.Y., Shi P., Shu Z., Wu Z.G., Consensus of multiagent systems using aperiodic sampled-data control, IEEE Transactions on Cybernetics, 46, 9, pp. 2132-2143, (2016)
  • [8] Zhou F., Wu Y.-X., Consensus tracking algorithms with directed network, Acta Automatica Sinica, 41, 1, pp. 180-185, (2015)
  • [9] Chen S.-M., Hua Y.-X., Zhu Z.-M., Lai Q., Fast flocking algorithm for multi-agent systems by optimizing local interactive topology, Acta Automatica Sinica, 41, 12, pp. 2092-2099, (2015)
  • [10] Rahimi R., Abdollahi F., Naqshi K., Time-varying formation control of a collaborative heterogeneous multi agent system, Robotics and Autonomous Systems, 62, 12, pp. 1799-1805, (2014)
123