Robust asymptotic stability of linear time-varying uncertain system with respect to its state mean

Ping-Min Hsu, Chun‐Liang Lin, Wei-Ting Chang
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Abstract

This paper studies a novel kind of robust stability, namely robust asymptotic stability with respect to states' means, of linear time-varying (LTV) uncertain systems. Roughly speaking, the system will feature this robust stability if its state variables' mean values gradually approach to their equilibrium states. Robust input-output finite-time stability (IO-FTS) of the LTV uncertain system over a bounded time interval is first introduced; however, it may suffer steady-state error due to modeling uncertainties. This gives rise to a demand for the stability robustness analysis corresponding to such uncertainties by studying the averaging system behavior focusing on the steady-state error rejection. Furthermore, a case study is provided to endorse significant superiority of our work.
线性时变不确定系统相对于状态均值的鲁棒渐近稳定性
研究了线性时变不确定系统的一类新的鲁棒稳定性,即关于状态均值的鲁棒渐近稳定性。粗略地说,如果系统状态变量的平均值逐渐接近平衡状态,系统就具有这种鲁棒稳定性。首先介绍了LTV不确定系统在有界时间区间内的鲁棒输入输出有限时间稳定性(IO-FTS);然而,由于建模的不确定性,它可能会产生稳态误差。这就需要通过研究平均系统的行为,着重研究稳态误差抑制,来对这种不确定性进行相应的稳定性鲁棒性分析。此外,还提供了一个案例研究,以证明我们的工作具有显著的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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