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arXiv 1502.00765math.OCcs.SYeess.SY
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非线性时滞系统采样数据稳定化方法

Sampled-Data Stabilization of Nonlinear Delay Systems with a Compact Absorbing Set

National Technical University of Athens(雅典国立技术大学);University of California, San Diego(加州大学圣迭戈分校)

Iasson Karafyllis, Miroslav Krstic

AI总结:

本文提出了一种基于ISP-O-P-DFC方案的全局采样数据稳定化方法,适用于具有紧致吸收集和输入/测量时滞的系统,并对采样调度扰动具有鲁棒性。

摘要:

本文提出了一种方法,用于具有紧致吸收集和输入/测量时滞的系统的全局采样数据稳定化。该方法基于Inter-Sample-Predictor、Observer、Predictor、Delay-Free Controller(ISP-O-P-DFC)方案,并对采样调度的扰动具有鲁棒性。所得结果即使在无时滞情况下也是新的。

英文摘要:

We present a methodology for the global sampled-data stabilization of systems with a compact absorbing set and input/measurement delays. The methodology is based on the Inter-Sample-Predictor, Observer, Predictor, Delay-Free Controller (ISP-O-P-DFC) scheme and the stabilization is robust to perturbations of the sampling schedule. The obtained results are novel even for the delay-free case.

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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