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Robust Synchronization of Uncertain Linear Multi-Agent Systems

机译:不确定线性多元智能系统的鲁棒同步

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This paper deals with robust synchronization of uncertain multi-agent networks. Given a network with for each of the agents identical nominal linear dynamics, we allow uncertainty in the form of additive perturbations of the transfer matrices of the nominal dynamics. The perturbations are assumed to be stable and bounded in ${cal H}_{infty}$-norm by some a priori given desired tolerance. We derive state space formulas for observer based dynamic protocols that achieve synchronization for all perturbations bounded by this desired tolerance. It is shown that a protocol achieves robust synchronization if and only if each controller from a related finite set of feedback controllers robustly stabilizes a given, single linear system. Our protocols are expressed in terms of real symmetric solutions of certain algebraic Riccati equations and inequalities, and also involve weighting factors that depend on the eigenvalues of the graph Laplacian. For undirected network graphs we show that within the class of such dynamic protocols, a guaranteed achievable tolerance can be obtained that is proportional to the quotient of the second smallest and the largest eigenvalue of the Laplacian. We also extend our results to additive nonlinear perturbations with ${cal L}_{2}$-gain bounded by a given tolerance.
机译:<?Pub Dtl?>本文讨论不确定的多主体网络的鲁棒同步。给定一个网络,每个代理具有相同的标称线性动力学,我们允许以标称动力学的传递矩阵的加扰形式出现不确定性。假设扰动是稳定的,并且在 $ {cal H} _ {infty} $ 给定所需的公差。我们推导了基于观察者的动态协议的状态空间公式,该动态协议实现了针对此所需公差所限制的所有扰动的同步。结果表明,当且仅当来自相关有限反馈控制器集的每个控制器稳固地稳定给定的单个线性系统时,协议才能实现稳健的同步。我们的协议以某些代数Riccati方程和不等式的实对称解表示,并且还涉及依赖于图拉普拉斯图的特征值的加权因子。对于无向网络图,我们表明在此类动态协议的类别内,可以获得与Laplacian第二最小和最大特征值的商成正比的有保证的可实现公差。我们还将结果扩展到加性非线性扰动,其中 $ {cal L} _ {2} $ -增益由给定值限制公差。

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