多脉冲随机非线性时滞系统输入-状态稳定性新准则

IF 8.7 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Haofeng Xu;Quanxin Zhu;Wei Xing Zheng
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引用次数: 0

摘要

研究了包含多脉冲的随机非线性延迟系统的第p阶输入-状态稳定性。通过一系列辅助方程、Razumikhin方法和随机分析方法,得到了脉冲控制和脉冲扰动联合作用下系统稳定性的一些新结果。据我们所知,本文是第一次尝试研究所建议系统的这种稳定性问题。此外,由于存在多个脉冲,分别提出了稳定脉冲平均停留时间(SIADT)和不稳定脉冲平均停留时间(DIADT)的概念。还应指出,所获得的准则可以摆脱现有结果的一些限制,具有更广泛的应用。特别是,我们允许多个脉冲在一段时间内的累计强度大于1,与现有的大多数文献相比,这在一定程度上更适用。最后,通过两个实例验证了该理论的有效性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Criteria on Input-to-State Stability for Stochastic Nonlinear Delayed Systems With Multiple Impulses
This article is committed to investigate the pth moment input-to-state stability for stochastic nonlinear delayed systems involving multiple impulses. Via a series of auxiliary equations, Razumikhin method and stochastic analysis approach, we derive some new stability results under the combination of impulsive control and impulsive disturbance. For all we know, this article is the first attempt to study such a stability issue for the suggested systems. Additionally, the concepts of stabilizing impulse average dwell time (SIADT) and destabilizing impulse average dwell time (DIADT) are proposed, respectively, owing to the presence of multiple impulses. It should also be pointed out that the obtained criteria can loose some restrictions of the existing results and have wider applications. Particularly, we allow the cumulative strength of multiple impulses over a period to be greater than 1, which is more applicable to some extent compared with most of the existing literatures. Finally, the effectiveness and validity of the theory are supported by two examples.
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来源期刊
IEEE Transactions on Systems Man Cybernetics-Systems
IEEE Transactions on Systems Man Cybernetics-Systems AUTOMATION & CONTROL SYSTEMS-COMPUTER SCIENCE, CYBERNETICS
CiteScore
18.50
自引率
11.50%
发文量
812
审稿时长
6 months
期刊介绍: The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.
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