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Consensus seeking in multiagent cooperative control systems with bounded control input 被引量：5

Consensus seeking in multiagent cooperative control systems with bounded control input
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摘要 Consensus algorithms in multiagent cooperative control systems with bounded control input are studied in this paper.Consensus algorithms are considered for the single-integrator dynamics and double-integrator dynamics under different communication interaction topologies,and show that consensus is reached asymptotically using the algorithm proposed in this paper for the single-integrator dynamics if the undirected interaction graph is connected,and consensus is reached asymptotically if the directed interaction graph is strongly connected,respectively.In addition,the paper further shows that consensus is reached asymptotically using the algorithm proposed for the double-integrator dynamics if the directed interaction graph is strongly connected.The effectiveness of these algorithms is demonstrated through simulations. Consensus algorithms in multiagent cooperative control systems with bounded control input are studied in this paper.Consensus algorithms are considered for the single-integrator dynamics and double-integrator dynamics under different communication interaction topologies,and show that consensus is reached asymptotically using the algorithm proposed in this paper for the single-integrator dynamics if the undirected interaction graph is connected,and consensus is reached asymptotically if the directed interaction graph is strongly connected,respectively.In addition,the paper further shows that consensus is reached asymptotically using the algorithm proposed for the double-integrator dynamics if the directed interaction graph is strongly connected.The effectiveness of these algorithms is demonstrated through simulations.
作者 Zhang, Shijie Duan, Guangren
机构地区 Center for Control Theory and Guidance Technology
出处 《控制理论与应用（英文版）》 EI 2011年第2期210-214,共5页
基金 supported by the National Natural Science Foundation of China (No. 60710002)
关键词 Consensus algorithms Cooperative control Graph theory Multiagent systems Consensus algorithms Cooperative control Graph theory Multiagent systems
分类号 TP13 [自动化与计算机技术—控制理论与控制工程]
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参考文献13

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同被引文献38

  • 1Hongyong YANG 1 , Fucai WANG 2 , Zhenxing ZHANG 3 , Guangdeng ZONG 4 (1.School of Information Science and Engineering, Ludong University, Yantai Shandong 264025, China,2.School of Electronic and Electrical Engineering, Ludong University, Yantai Shandong 264025, China,3.School of Automation, Southeast University, Nanjing Jiangsu 210096, China,4.Institute of Automation, Qufu Normal University, Qufu Shandong 273165, China).Consensus of multiagent systems based on disturbance observer[J].控制理论与应用（英文版）,2010,8(2):145-150. 被引量：1
  • 2Yao LU 1 , Yi GUO 1 , Zhaoyang DONG 2 (1.Department of Electrical and Computer Engineering, Stevens Institute of Technology, Castle Point, Hoboken, NJ07030, USA,2.Department of Electrical Engineering, Hong Kong Polytechnic University, Hong Kong, China).Multiagent flocking with formation in a constrained environment[J].控制理论与应用（英文版）,2010,8(2):151-159. 被引量：5
  • 3俞辉,蹇继贵,王永骥.多智能体时滞网络的加权平均一致性[J].控制与决策,2007,22(5):558-561. 被引量：30
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  • 6YU W, CHEN G, CAO M, et al. Second-order consensus for multi- agent systems with directed topologies and nonlinear dynamics [J]. IEEE Transations on Sysemt, Man and Cybernetics, Part B, 2010, 40(3): 881 - 891.
  • 7AHN H S, CHEN Y, MOORE K L. Iterative learning control: brief survey and categorization [J]. IEEE Transations on System, Man and Cybernetics, Part C, 2007, 37(6): 1099- 1121.
  • 8AHN H S, CHEN Y Q. Iterative learning control for multi-agent for- mation [C] //In Proceedings of the ICROS-SICE International Joint Conference. Fukuoka, Japan: IEEE, 2009:3111 - 3116.
  • 9AHN H S, MOORE K L, CHEN Y Q. Trajectory keeping in satellite formation flying via robust periodic learning control [J]. International Journal of Robust and Nonlinear Control, 2010, 20(14): 1655- 1666.
  • 10BARTON K, ALLEYNE A. Precision coordination and motion con- trol of multiple systems via iterative learning control [C] //Proceed- ings of the 2010American Control Conference. Baltimore. MD, USA: IEEE, 2010:1272 - 1277.

引证文献5

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控制理论与应用（英文版）
2011年 第2期

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