Finite-time annular domain stability and stabilisation of Itô-type stochastic time-varying systems with Wiener and Poisson noises

IF 1.6 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS International Journal of Control Pub Date : 2021-10-20 DOI:10.1080/00207179.2021.1996633
Zhiguo Yan, Xiaomin Zhou, Dongkang Ji, M. Zhang
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引用次数: 6

Abstract

This paper investigates finite time annular domain (FTAD) stability and stabilisation for Itô-type stochastic time-varying systems with continuous Wiener and discontinuous Poisson noises (STVSWPNs). First, using Itô-Levy formula and time-varying multiple quadratic Lyapunov functions, two less conservative FTAD-stability conditions based generalised differential Lyapunov equations (GDLEs) and differential linear matrix inequalities (DLMIs) are obtained. Second, the FTAD stabilisation is studied and some new sufficient conditions for the existence of state feedback and static output feedback controllers are presented by tractable differential linear matrix inequalities. Moreover, a new numerical algorithm is given. Finally, a numerical example and a real-world example are utilised to show the effectiveness of the proposed methods.
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具有Wiener和Poisson噪声的随机时变系统的有限时间环域稳定性和稳定性Itô-type
本文研究了具有连续维纳和不连续泊松噪声(stvswpn)的Itô-type随机时变系统的有限时间环域(FTAD)稳定性和镇定性。首先,利用Itô-Levy公式和时变多重二次Lyapunov函数,得到了基于广义微分Lyapunov方程(gdle)和微分线性矩阵不等式(dlmi)的两个较保守的ftad稳定性条件。其次,研究了FTAD的镇定性,利用可处理的微分线性矩阵不等式给出了状态反馈和静态输出反馈控制器存在的一些新的充分条件。并给出了一种新的数值算法。最后,通过数值算例和实际算例验证了所提方法的有效性。
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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来源期刊
International Journal of Control
International Journal of Control 工程技术-自动化与控制系统
CiteScore
5.00
自引率
9.50%
发文量
197
审稿时长
5.3 months
期刊介绍: The International Journal of Control publishes top quality, peer reviewed papers in all areas, both established and emerging, of control theory and its applications. Readership: Development engineers and research workers in industrial automatic control. Research workers and students in automatic control and systems science in universities. Teachers of advanced automatic control in universities. Applied mathematicians and physicists working in automatic control and systems analysis. Development and research workers in fields where automatic control is widely applied: process industries, energy utility industries and advanced manufacturing, embedded systems and robotics.
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