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首页> 外文期刊>International journal of systems science >Robust sampled-data H-infinity control of uncertain singularly perturbed systems using time-dependent Lyapunov functionals
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Robust sampled-data H-infinity control of uncertain singularly perturbed systems using time-dependent Lyapunov functionals

机译:使用时间相关的Lyapunov函数对不确定奇异摄动系统进行鲁棒的采样数据H无限控制

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摘要

In this paper, the problem of robust sampled-data H-infinity control of linear uncertain singularly perturbed systems is investigated. The parametric uncertainties are assumed to be time-varying and norm-bounded. Two types of controller design are considered: (1) with a fast sampling in the fast state and a slow one in the slow state, and (2) with a fast sampling in both states. For each type, a time-dependent Lyapunov functional associated with the sampling pattern is introduced to analyse the exponential stability and L-2-gain performance of the closed-loop system. Linear matrix inequalities based solutions of the robust sampled-data H-infinity control problem are derived. The new results are proved theoretically to be less conservative than the existing results. An illustrative example is given which substantiates the usefulness of the proposed method.
机译:本文研究了线性不确定奇异摄动系统的鲁棒采样数据H-∞控制问题。假设参数不确定性是随时间变化且受范数限制的。考虑了两种类型的控制器设计:(1)在快速状态下进行快速采样,在慢速状态下进行慢速采样,以及(2)在两种状态下进行快速采样。对于每种类型,引入了与采样模式相关的时间相关的Lyapunov函数,以分析闭环系统的指数稳定性和L-2-增益性能。推导了基于线性矩阵不等式的鲁棒采样数据H-无限控制问题的解决方案。理论上证明新结果不如现有结果保守。给出了说明性实例,该实例证实了所提出方法的有效性。

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