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Consensus of linear multi-agent systems subject to actuator saturation

机译:线性多主体系统在执行器饱和下的共识

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This paper is aimed at studying the consensus of linear multi-agent systems subject to actuator saturation. In order to solve the consensus problem, a new family of scheduled low-and-high-gain decentralized control laws are designed, provided that the dynamics of each agent is asymptotically null controllable with bounded controls, and such control laws rely on the asymptotic property of a class of parametric algebraic Ricatti equations. It is shown that the consensus of the systems with connected and fixed topology can be achieved semi-globally asymptotically via the local error low-and-high-gain feedback. An illustrative example with simulations shows that our method as well as control protocols is effective for the consensus of the linear multi-agent systems subject to actuator saturation.
机译:本文旨在研究在执行器饱和的情况下线性多智能体系统的共识。为了解决共识问题,设计了一组新的调度的低和高增益分散控制律,条件是每个智能体的动力学可以被边界控制渐近地零控制,并且这种控制律依赖于渐近性质一类参数代数Ricatti方程的形式。结果表明,通过局部误差低增益和高增益反馈可以半全局渐近地实现具有固定拓扑结构的系统的一致性。一个带有仿真的说明性例子表明,我们的方法和控制协议对于线性多智能体系统在致动器饱和的情况下的一致性是有效的。

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