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arXiv 1502.04205eess.SYcs.SY
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领导者-跟随者跟踪控制:具有保证一致性性能的互联系统

Leader-follower Tracking Control with Guaranteed Consensus Performance for Interconnected Systems with Linear Dynamic Uncertain Coupling

School of Engineering and Information Technology, University of New South Wales at the Australian Defence Force Academy(新南威尔士大学澳大利亚国防军学院工程与信息技术学院)

Yi Cheng, V. Ugrinovskii

AI总结:

本文研究了具有无向拓扑和线性动态耦合的互联系统领导者-跟随者跟踪控制问题,提出基于状态相对邻居的共识型跟踪控制协议,并通过两种方法设计控制协议以保证系统跟踪性能。

摘要:

本文考虑了具有无向拓扑和线性动态耦合的互联系统领导者-跟随者跟踪控制问题。将系统间相互作用视为线性动态不确定性,并用积分二次约束(IQCs)进行描述。为每个系统提出基于其状态相对于邻居的共识型跟踪控制协议。此外,选定的子系统使用相对于领导者的状态进行控制。提出了两种方法用于设计此控制协议:一种方法使用坐标变换将协议设计问题转化为辅助互联大规模系统的去中心化鲁棒控制问题;另一种方法直接设计,不使用坐标变换,允许更一般的线性不确定交互。通过这些方法获得了保证系统跟踪领导者的充分条件。这些条件保证了系统一致性与跟踪性能的次优界。通过仿真示例比较了所提方法,并讨论了其有效性。还提出了计算次优控制器的算法。

英文摘要:

This paper considers the leader-follower tracking control problem for linear interconnected systems with undirected topology and linear dynamic coupling. Interactions between the systems are treated as linear dynamic uncertainty and are described in terms of integral quadratic constraints (IQCs). A consensus-type tracking control protocol is proposed for each system based on its state relative its neighbors. In addition a selected set of subsystems uses for control their relative states with respect to the leader. Two methods are proposed for the design of this control protocol. One method uses a coordinate transformation to recast the protocol design problem as a decentralized robust control problem for an auxiliary interconnected large scale system. Another method is direct, it does not employ coordinate transformation; it also allows for more general linear uncertain interactions. Using these methods, sufficient conditions are obtained which guarantee that the system tracks the leader. These conditions guarantee a suboptimal bound on the system consensus and tracking performance. The proposed methods are compared using a simulation example, and their effectiveness is discussed. Also, algorithms are proposed for computing suboptimal controllers.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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