Dissipativity-based Reduced-order Filtering for Uncertain Semi-Markovian Jump Systems: Continuous-Time Case

Zhang Huiyan, Ao Wen-gang
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引用次数: 0

Abstract

This paper investigates the problem of dissipativity-based reduced-order filtering for continuous-time phase-type semi-Markovian jump systems (PH-SMJSs) with event-triggered scheme. By utilizing the dissipativity-based technique, sufficient conditions for the existence of the fixed-order filter are obtained to ensure the asymptotical stability with a strict dissipative performance of the resulted filtering error system. Next, the corresponding filter parameters are obtained by introducing slack variables. Furthermore, the proposed performance criterion condition is more general by covering $\mathcal{H}_{\infty}$, passivity, or mixed performance. Simulation results are provided to illustrate the effectiveness of the proposed reduced-order filter design approach.
基于耗散的不确定半马尔可夫跳变系统降阶滤波:连续时间情况
研究了具有事件触发格式的连续时间相位型半马尔可夫跳变系统(PH-SMJSs)基于耗散的降阶滤波问题。利用基于耗散的技术,得到了定阶滤波器存在的充分条件,以保证所得到的滤波误差系统具有严格耗散性能的渐近稳定性。其次,通过引入松弛变量得到相应的滤波参数。此外,通过涵盖$\mathcal{H}_{\infty}$、被动性或混合性能,所建议的性能标准条件更加通用。仿真结果表明了所提出的降阶滤波器设计方法的有效性。
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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