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首页> 外文期刊>IEEE Transactions on Systems, Man, and Cybernetics >Prescribed Performance-Based Consensus of Nonlinear Multiagent Systems With Unknown Control Directions and Switching Networks
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Prescribed Performance-Based Consensus of Nonlinear Multiagent Systems With Unknown Control Directions and Switching Networks

机译:具有未知控制方向和切换网络的非线性多主体系统基于性能的约定共识

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摘要

In this paper, the prescribed performance-based consensus problem for nonlinear multiagent systems with unknown control directions and switching networks is investigated. Different from the existing works, the unknown control directions and prescribed performance of consensus errors are considered simultaneously under the switching networks. In this case, the graph Laplacian matrix may be singular and the controllers are interacted. To handle this problem which cannot be dealt with directly using the existing methods, a distributed adaptive observer is introduced so that the controllers are decoupled and the difficulty caused by the unknown control directions can be overcome by adopting the existing Nussbaum functions and the unknown control directions of agents are allowed to be nonidentical. Meanwhile, by utilizing the designed controller, the consensus errors can be guaranteed with the prescribed performance. Finally, a numerical example verifies the validity of the proposed method.
机译:本文研究了具有未知控制方向和切换网络的非线性多智能体系统基于性能的共识性问题。与现有工作不同,在交换网络下同时考虑未知的控制方向和共识误差的规定性能。在这种情况下,图拉普拉斯矩阵可以是奇异的,并且控制器是相互影响的。为了解决现有方法无法直接解决的问题,引入了分布式自适应观测器,使控制器解耦,采用现有的Nussbaum函数和未知控制方向可以克服未知控制方向带来的困难。的代理允许不相同。同时,通过使用设计的控制器,可以保证具有规定性能的共识误差。最后,通过数值算例验证了该方法的有效性。

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