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arXiv 1204.3554eess.SYcs.SYmath.CAmath.DSmath.OC
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通过积分线性约束的不确定线性正系统的鲁棒稳定性与镇定:L1-和L∞-增益表征

Robust stability and stabilization of uncertain linear positive systems via Integral Linear Constraints: L1- and Linfinity-gains characterization

Swiss Federal Institute of Technology–Zurich (ETHZ)(苏黎世联邦理工学院);ACCESS Linnaeus Centre, KTH(ACCESS林奈中心,皇家理工学院)

Corentin Briat

AI总结:

本文利用共正线性Lyapunov函数和耗散理论,通过L1和L∞增益分析不确定线性正系统的鲁棒稳定性与镇定,并采用积分线性约束处理不确定性,最终转化为有限维鲁棒线性规划问题。

摘要:

使用共正线性Lyapunov函数结合耗散理论对不确定线性正系统进行稳定性分析和控制。与线性系统的通常结果不同,本文采用线性供给率进行鲁棒性和性能分析,使用L1-和L∞-增益。利用积分线性约束(ILCs)进行鲁棒稳定性分析,讨论了若干类不确定性。然后将该方法扩展到鲁棒镇定和性能优化。所得结果以鲁棒线性规划问题的形式表达,并利用Handelman定理等价地转化为有限维问题。给出了几个例子进行说明。

英文摘要:

Copositive linear Lyapunov functions are used along with dissipativity theory for stability analysis and control of uncertain linear positive systems. Unlike usual results on linear systems, linear supply-rates are employed here for robustness and performance analysis using L1- and Linfinity-gains. Robust stability analysis is performed using Integral Linear Constraints (ILCs) for which several classes of uncertainties are discussed. The approach is then extended to robust stabilization and performance optimization. The obtained results are expressed in terms of robust linear programming problems that are equivalently turned into finite dimensional ones using Handelman's Theorem. Several examples are provided for illustration.

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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