A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 1 Issue 2
Apr.  2014

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 15.3, Top 1 (SCI Q1)
    CiteScore: 23.5, Top 2% (Q1)
    Google Scholar h5-index: 77, TOP 5
Turn off MathJax
Article Contents
Huiyang Liu, Long Cheng, Min Tan and Zengguang Hou, "Containment Control of General Linear Multi-agent Systems with Multiple Dynamic Leaders: a Fast Sliding Mode Based Approach," IEEE/CAA J. of Autom. Sinica, vol. 1, no. 2, pp. 134-140, 2014.
Citation: Huiyang Liu, Long Cheng, Min Tan and Zengguang Hou, "Containment Control of General Linear Multi-agent Systems with Multiple Dynamic Leaders: a Fast Sliding Mode Based Approach," IEEE/CAA J. of Autom. Sinica, vol. 1, no. 2, pp. 134-140, 2014.

Containment Control of General Linear Multi-agent Systems with Multiple Dynamic Leaders: a Fast Sliding Mode Based Approach

Funds:

This work was supported by China Postdoctoral Science Foundation (2012M520459), National Natural Science Foundation of China (61370032, 61273337, 61304170, 61225017), and Beijing Nova Program (Z121101002512066).

  • In this paper, distributed containment control problems of general linear multi-agent systems are investigated. The objective is to make the followers in a multi-agent network converge to the convex hull spanned by some leaders whose control inputs are nonzero and not available to any followers. Sliding mode surfaces are defined for the cases of reduced order and non-reduced order, respectively. For each case, fast sliding mode controllers are designed. It is shown that all the error trajectories exponentially reach the sliding mode surfaces in a finite time if for each follower, there exists at least one of the leaders who has a directed path to the follower, and the leaders' control inputs are bounded. The control Lyapunov function for exponential finite time stability, motivated by the fast terminal sliding mode control, is used to prove reachability of the sliding mode surfaces. Simulation examples are given to illustrate the theoretical results.

     

  • loading
  • [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, Murray R M. Consensus problems in networks of agents with switching topology and time-delays. IEEE Transactions on Automatic Control, 2004, 49(9):1520-1533
    [3]
    Ren W, Beard R W. Consensus seeking in multiagent systems under dynamically changing interaction topologies. IEEE Transactions on Automatic Control, 2005, 50(5):655-661
    [4]
    Cheng L, Hou Z G, Tan M, Lin Y Z, Zhang W J. Neural-networkbased adaptive leader-following control for multi-agent systems with uncertainties. IEEE Transactions on Neural Networks, 2010, 21(8):1351-1358
    [5]
    Hou Z G, Cheng L, Tan M. Decentralized robust adaptive control for the multiagent system consensus problem using neural networks. IEEE Transactions on Systems, Man, and Cybernetics, Part B:Cybernetics, 2009, 39(3):636-647
    [6]
    Cheng L, Hou Z G, Lin Y, Tan M, Zhang W J. Solving a modified consensus problem of linear multi-agent systems. Automatica, 2011, 47(10):2218-2223
    [7]
    Yan W S, Li J B, Wang Y T. Consensus for damaged multi-agent system. Acta Automatica Sinica, 2012, 38(11):1880-1884(in Chinese)
    [8]
    Egerstedt M, Hu X. Formation constrained multi-agent control. IEEE Transactions on Robotics and Automation, 2001, 17(6):947-951
    [9]
    Lin Z Y, Francis B, Maggiore M. Necessary and sufficient graphical conditions for formation control of unicycles. IEEE Transactions on Automatic Control, 2005, 50(1):121-127
    [10]
    Yang L, Cao Z Q, Zhou C, Cheng L, Tan M. Formation control and switching for multiple robots in uncertain environments. International Journal of Robotics and Automation, 2010, 25(3):240-249
    [11]
    Dong X G, Cao X B, Zhang J X, Shi L. A robust adaptive control law for satellite formation flying. Acta Automatica Sinica, 2013, 39(2):132-141(in Chinese)
    [12]
    Cortes J, Martinez S, Bullo F. Robust Rendezvous for mobile autonomous agents via proximity graphs in arbitrary dimensions. IEEE Transactions on Automatic Control, 2006, 51(8):1289-1298
    [13]
    Dimarogonas D V, Kyriakopoulos K J. On the rendezvous problem for multiple nonholonomic agents. IEEE Transactions on Automatic Control, 2007, 52(5):916-922
    [14]
    Gupta P, Kumar P R. Critical power for asymptotic connectivity in wireless networks. In:Proceedings of the 37th IEEE Conference on Decision and Control. Tampa, FL:IEEE, 1998. 1106-1110
    [15]
    McNew J M, Klavins E, Egerstedt M. Solving coverage problems with embedded graph grammars. In:Proceedings of the 10th International Conference on Hybrid Systems:Computation and Control. Berlin, Heidelberg:Springer-Verlag, 2007. 413-427
    [16]
    Olfati-Saber R. Flocking for multi-agent dynamic systems:algorithms and theory. IEEE Transactions on Automatic Control, 2006, 51(3):401-420
    [17]
    Tanner H G, Jadbabaie A, Pappas G J. Flocking in fixed and switching networks. IEEE Transactions on Automatic Control, 2007, 52(5):863-868
    [18]
    Ren W, Beard R W, Atkins E M. Information consensus in multivehicle cooperative control. IEEE Control Systems Magazine, 2007, 27(2):71-82
    [19]
    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
    [20]
    Min Hai-Bo, Liu Yuan, Wang Shi-Cheng, Sun Fu-Chun. An overview on coordination control problem of multi-agent system. Acta Automatica Sinica, 2012, 38(10):1557-1570(in Chinese)
    [21]
    Dimarogonas D V, Egerstedt M, Kyriakopoulos K J. A leader-based containment control strategy for multiple unicycles. In:Proceedings of the 45th IEEE Conference on Decision and Control. San Diego, CA, USA:IEEE, 2006. 5968-5973
    [22]
    Xiao F, Wang L. Consensus behavior of agents in networked systems under general communication topologies. In:Proceedings of the 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE International Conference on Control Applications, Computer Aided Control System Design. Munich, Germany:IEEE, 2006. 862-867
    [23]
    Liu H Y, Cheng L, Tan M, Hou Z G. Containment control with multiple interacting leaders under switching topologies. In:Proceedings of the 32nd Chinese Control Conference, Xi'an, China:Northwestern Polytechnical University, 2013. 7093-7098
    [24]
    Ji M, Ferrari-Trecate G, Egerstedt M, Buffa A. Containment control in mobile networks. IEEE Transactions on Automatic Control, 2008, 53(8):1972-1975
    [25]
    Cao Y C, Stuart D, Ren W, Meng Z Y. Distributed containment control for double-integrator dynamics:algorithms and experiments. In:Proceedings of the 2010 American Control Conference. Baltimore, MD, USA:IEEE, 2010. 3830-3835
    [26]
    Meng Z Y, Ren W, You Z. Distributed finite-time attitude containment control for multiple rigid bodies. Automatica, 2010, 46(12):2092-2099
    [27]
    Notarstefano G, Egerstedt M, Haque M. Containment in leader-follower networks with switching communication topologies. Automatica, 2011, 47(5):1035-1040
    [28]
    Liu H Y, Xie G M, Wang L. Necessary and sufficient conditions for containment control of networked multi-agent systems. Automatica, 2012, 48(7):1415-1422
    [29]
    Lou Y C, Hong Y G. Target containment control of multi-agent systems with random switching interconnection topologies. Automatica, 2012, 48(5):879-885
    [30]
    Liu H Y, Xie G M, Wang L. Containment of linear multi-agent systems under general interaction topologies. Systems & Control Letters, 2012, 61(4):528-534
    [31]
    Cao Y C, Ren W. Distributed coordinated tracking with reduced interaction via a variable structure approach. IEEE Transactions on Automatic Control, 2012, 57(1):33-48
    [32]
    Li Z K, Liu X D, Ren W, Xie L H. Distributed tracking control for linear multiagent systems with a leader of bounded unknown input. IEEE Transactions on Automatic Control, 2013, 58(2):518-523
    [33]
    Biggs N. Algebraic Graph Theory. Cambridge, U. K.:Cambridge University Press, 1974
    [34]
    Horn R A, Johnson C R. Matrix Analysis. Cambridge, U. K.:Cambridge University Press, 1987
    [35]
    Taussky. A recurring theorem on determinants. American Mathematical Monthly, 1949, 56(10):672-676
    [36]
    Chu T G, Wang L, Chen T W, Mu S M. Complex emergent dynamics of anisotropic swarms:convergence vs oscillation. Chaos Solutions & Fractals, 2006, 30(4):875-885
    [37]
    Rockafellar R T. Convex Analysis. New Jersey:Princeton University Press, 1972
    [38]
    Utkin V I. Sliding Modes in Control and Optimization. Berlin, Heidelberg:Springer-Verlag, 1992
    [39]
    Sontag E. Mathematical Control Theory:Deterministic Finite Dimensional Systems. New York:Springer, 1998
    [40]
    Cheng L, Hou Z G, Tan M, Wang X. Necessary and sufficient conditions for consensus of double-integrator multi-agent systems with measurement noises. IEEE Transactions on Automatic Control, 2011, 56(8):1958-1963
    [41]
    Cheng L, Wang Y P, Hou Z G, Tan M, Cao Z Q. Sampled-data based average consensus of second-order integral multi-agent systems:switching topologies and communication noises. Automatica, 2013, 49(5):1458-1464

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1312) PDF downloads(17) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return