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摘要: 文章针对带有不确定性的非线性网络系统设计了协调跟踪控制器, 使得follower实现了对仅部分信息可测且受干扰的动态leader的跟踪. 文章运用神经网络方法对follower动态进行建模, 提出了基于观测器的自适应控制策略, 并且通过Lyapunov理论证明, 在适当的网络拓扑条件和适当选择参数的前提下, 该网络系统可以达UUB (Cooperative Uniformly Ultimately Bounded). 最后, 文章给出仿真实例以验证所提算法的有效性.Abstract: In this paper, we investigate the cooperative track-ing problem for a class of nonlinear uncertain networked systems subject to an active leader, whose state can merely be partially measured and input channel is disturbed as well. By virtue of neural network (NN) technique, the dynamics of followers are properly modeled on certain basis functions and their in-put channels are assumed to be disturbed as well. In this work, an observer-based adaptive control is proposed for the nonlinear networked systems which may have non-identical dynamics. It is shown via Lyapunov theory that the overall system is coop-eratively uniformly ultimately bounded (UUB) by appropriately choosing the parameters under some graph condition. In the end, several numerical simulations are elaborated for validation of the proposed adaptive controller.
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[1] Murray R M. Recent research in cooperative control of multivehicle systems. Journal of Dynamic Systems, Measurement, and Control, 2007, 129(5): 571-583 [2] Ren W, Cao Y C. Distributed Coordination of Multi-agent Networks: Emergent Problems, Models, and Issues. London: Springer-Verlag Press, 2011 [3] 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 [4] Lin Z Y, Broucke M, Francis B. Local control strategies for groups of mobile autonomous agents. IEEE Transactions on Automatic Control, 2004, 49(4): 622-629 [5] Ren W, Beard R. Distributed Consensus in Multi-vehicle Cooperative Control: Theory and Applications. London: Springer-Verlag Press, 2008 [6] Zhu W, Cheng D Z. Leader-following consensus of second-order agents with multiple time-varying delays. Automatica, 2010, 46(12): 1994-1999 [7] Wang J N, Xin M. Multi-agent consensus algorithm with obstacle avoidance via optimal control approach. International Journal of Control, 2010, 83(12): 2606-2621 [8] Krstic M, Kanellakopoulos I, Kokotovic P V. Nonlinear and Adaptive Control Design. New York: John Wiley and Sons Press, 1995 [9] Qu Z H. Cooperative Control of Dynamical Systems. London: Springer-Verlag Press, 2009 [10] Das A, Lewis F L. Distributed adaptive control for synchronization of unknown nonlinear networked systems. Automatica, 2010, 46(12): 2014-2021 [11] Hong Y G, Hu J P, Gao L X. Tracking control for multi-agent consensus with an active leader and variable topology. Automatica, 2006, 42(7): 1177-1182 [12] Wang J N, Xin M. Distributed optimal cooperative tracking control of multiple autonomous robots. Robotics and Autonomous Systems, 2012, 60(4): 572-583 [13] Ren W. Multi-vehicle consensus with a time-varying reference state. Systems and Control Letters, 2007, 56(7-8): 474-483 [14] Ren W. On consensus algorithms for double-integrator dynamics. IEEE Transactions on Automatic Control, 2008, 53(6): 1503-1509 [15] Lewis F L, Jagannathan S, Yesildirek A. Neural Network Control of Robot Manipulators and Nonlinear Systems. Bristol, PA: Taylor and Francis Press, 1999
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