具有时变延迟的不确定离散时间奇异马尔可夫跃迁系统的鲁棒稳定问题

IF 2.2 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Wenbin Chen, Fang Gao
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引用次数: 0

摘要

本文全面探讨了具有时变延迟的不确定离散时间奇异马尔可夫跃迁系统(DSMJS)的稳定问题。本文通过离散状态分解法提出了一个更新的 Lyapunov-Krasovskii 函数。在构建的 Lyapunov-Krasovskii 函数的帮助下,推导出了开环 DSMJS 的一些与延迟和模式相关的充分条件。在这些条件的基础上,利用与记忆模式相关的状态反馈控制来创建具有参数不确定性的闭环 DSMJS,这种闭环 DSMJS 是有规律和因果关系的。然后,达到随机可接受条件。通过对所设计的记忆状态反馈控制器各分解分量的精确计算,确定了预定的记忆状态反馈控制器设置。值得一提的是,本文提出的算法扩大了控制器设计的可行性和灵活性。数值结果表明,该方法优于以往的方法,给出的结果也不那么保守。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Robust stabilization for uncertain discrete–time singular Markovian jump systems with time–varying delays

Robust stabilization for uncertain discrete–time singular Markovian jump systems with time–varying delays

The stabilization problem for uncertain discrete-time singular Markovian jump systems (DSMJSs) with time-varying delays is comprehensively covered in this paper. An updated Lyapunov–Krasovskii functional is presented via a discrete state decomposition method. With the help of this constructed Lyapunov–Krasovskii functional, some delay- and mode-dependent sufficient conditions for the open-loop DSMJSs are derived. Based on these circumstances, a memory mode-dependent state feedback control is used to create a closed-loop DSMJS with parameter uncertainties that is regular and causal. And then, the stochastically admissible conditions are attained. Through the exact calculation of each decomposition component for the designed memory state feedback controller, the intended memory state feedback controller settings are determined. It should be mentioned that the algorithm suggested in this article expands the controller design's feasibility and flexibility. The numerical results show how the approach is superior to previous ones, and the given results are less conservative.

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来源期刊
IET Control Theory and Applications
IET Control Theory and Applications 工程技术-工程:电子与电气
CiteScore
5.70
自引率
7.70%
发文量
167
审稿时长
5.1 months
期刊介绍: IET Control Theory & Applications is devoted to control systems in the broadest sense, covering new theoretical results and the applications of new and established control methods. Among the topics of interest are system modelling, identification and simulation, the analysis and design of control systems (including computer-aided design), and practical implementation. The scope encompasses technological, economic, physiological (biomedical) and other systems, including man-machine interfaces. Most of the papers published deal with original work from industrial and government laboratories and universities, but subject reviews and tutorial expositions of current methods are welcomed. Correspondence discussing published papers is also welcomed. Applications papers need not necessarily involve new theory. Papers which describe new realisations of established methods, or control techniques applied in a novel situation, or practical studies which compare various designs, would be of interest. Of particular value are theoretical papers which discuss the applicability of new work or applications which engender new theoretical applications.
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