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分布式无源性系统的同步控制与分析

陈刚 余名

陈刚, 余名. 分布式无源性系统的同步控制与分析. 自动化学报, 2012, 38(5): 882-888. doi: 10.3724/SP.J.1004.2012.00882
引用本文: 陈刚, 余名. 分布式无源性系统的同步控制与分析. 自动化学报, 2012, 38(5): 882-888. doi: 10.3724/SP.J.1004.2012.00882
CHEN Gang, YU Ming. Synchronizing Control and Analysis of Distributed Passive Systems. ACTA AUTOMATICA SINICA, 2012, 38(5): 882-888. doi: 10.3724/SP.J.1004.2012.00882
Citation: CHEN Gang, YU Ming. Synchronizing Control and Analysis of Distributed Passive Systems. ACTA AUTOMATICA SINICA, 2012, 38(5): 882-888. doi: 10.3724/SP.J.1004.2012.00882

分布式无源性系统的同步控制与分析

doi: 10.3724/SP.J.1004.2012.00882
详细信息
    通讯作者:

    陈刚, 博士, 重庆大学自动化学院副教授. 主要研究方向为分布式协调控制, 网络控制, 非线性控制, 智能控制.

Synchronizing Control and Analysis of Distributed Passive Systems

  • 摘要: 针对由多个无源性系统所构成的分布式有向网络系统,基于 Lyapunov方法提出了设计与分析同步控制协议的新框架. 其设计与分析方法适用于一类更广泛的有向拓扑网络,克服了已有理论框架下拓扑分析的局限性. 该方法也适用于带有通信时延及控制输入饱和的系统. 在新的理论框架下,分析了网络化拉格朗日系统的同步控制问题,并对网络化多机械手系统的同步控制进行了仿真研究. 仿真结果表明了算法的有效性.
  • [1] Jadbabaie A, Lin J, Morse A S. Coordination of groups of mobile autonomous agents using nearest neighbor rules. IEEE Transactions on Automatic Control, 2003, 48(6): 988-1001[2] Olfati-Saber R, Fax J A, Murray R M. Consensus and cooperation in networked multi-agent systems. Proceedings of the IEEE, 2007, 95(1): 215-233[3] Ren W, Beard R W, Atkins E M. Information consensus in multi-vehicle cooperative control. IEEE Control Systems Magazine, 2007, 27(2): 71-82[4] Chen G, Lewis F L. Robust consensus of multiple inertial agents with coupling delays and variable topologies. International Journal of Robust and Nonlinear Control, 2011, 21(6): 666-685[5] Chen Yang-Yang, Tian Yu-Ping. Directed coordinated control for multi-agent formation motion on a set of given curves. Acta Automatica Sinica, 2009, 35(12): 1541-1549 (陈杨杨, 田玉平. 多智能体沿多条给定路径编队运动的有向协同控制. 自动化学报, 2009, 35(12): 1541-1549)[6] Wu Jun, Lu Yu-Ping. Stability analysis of multi-robot system based on network communication. Acta Automatica Sinica, 2010, 36(12): 1706-1710 (吴俊, 陆宇平. 基于网络通信的多机器人系统的稳定性分析. 自动化学报, 2010, 36(12): 1706-1710)[7] Chen G, Lewis F L. Distributed adaptive tracking control for synchronization of unknown networked Lagrangian systems. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, 2011, 41(3): 805-816[8] Mei Jie, Zhang Hai-Bo, Ma Guang-Fu. Adaptive coordinated tracking for networked Euler-Lagrange systems under a directed graph. Acta Automatica Sinica, 2011, 37(5): 598-603 (梅杰, 张海博, 马广富. 有向图中网络Euler-Lagrange 系统的自适应协调跟踪. 自动化学报, 2011, 37(5): 598-603)[9] Chopra N, Spong M W. Passivity-based control of multi-agent systems. Advances in Robot Control: from Everyday Physics to Humanlike Movements. Berlin, Germany: Springer-Verlag, 2006. 107-134[10] Arcak M. Passivity as a design tool for group coordination. IEEE Transactions on Automatic Control, 2007, 52(8): 1380-1390[11] Rodriguez-Angeles A, Nijmeijer H. Mutual synchronization of robots via estimated state feedback: a cooperative approach. IEEE Transactions on Control System Technology, 2004, 12(4): 542-554[12] Chung S J, Slotine J J E. Cooperative robot control and concurrent synchronization of Lagrangian systems. IEEE Transactions on Robotics, 2009, 25(3): 686-700[13] Pereira A R, Hsu L, Ortega R. Globally stable adaptive formation control of Euler-Lagrange agents via potential functions. In: Proceedings of American Control Conference. Saint Louis, USA: IEEE, 2009. 2606-2611[14] Ren W. Distributed leaderless consensus algorithms for networked Euler-Lagrange systems. International Journal of Control, 2009, 82(11): 2137-2149[15] Moylan P J. Implications of passivity in a class of nonlinear systems. IEEE Transactions on Automatic Control, 1974, 19(4): 373-381[16] Horn R A, Johnson C R. Matrix Analysis. Cambridge: Cambridge University Press, 1985[17] Khalil H K. Nonlinear Systems(Third Edition). New Jersey: Prentice-Hall, 2002[18] Desoer C A, Vidyasagar M. Feedback Systems: Input-Output Properties. New York: Academic Press, 1975[19] Lewis F L, Jagannathan S, Yesildirak A. Neural Network Control of Robot Manipulators and Non-Linear Systems. New York: Taylor Francis, 1998
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出版历程
  • 收稿日期:  2010-11-29
  • 修回日期:  2012-01-10
  • 刊出日期:  2012-05-20

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