Yinuo Wang , Chuandong Li , Hongjuan Wu , Hao Deng
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引用次数: 0
摘要
本文考虑到信息传递速度有限可能会产生时延,时延有时会影响系统的稳定性,但实际上时延无处不在,有时会对系统的稳定性产生积极影响,因此有必要思考时延的存在。本文研究了延迟脉冲控制(IC)下的非线性系统,主要利用多跨阶跃函数法分析了所考虑系统的稳定性条件,该方法可以算作是类李雅普诺夫稳定性方法的广义化,与现有的传统类李雅普诺夫函数法相比,其保守性较低。此外,该方法还首次用于具有 IC 和时延的系统的稳定性。本文以非线性自主系统的等距脉冲和线性时变系统的非等距脉冲为例,分别验证了所提出方法的实用性。此外,提出的方法还提供并处理了无时延自主系统的 Zeno 行为,与 Lyapunov 类函数方法相比,更能体现该方法的广泛可行性。
Stability of nonlinear delayed impulsive control systems via step-function method
In this paper, considering that the limited speed of information transfer may generate time delay, which can sometimes influence the stability of the system, but in reality time delay is pervasive, and sometimes can have a positive impact on system’s stability, so it is essential to think about its existence. The nonlinear systems under delayed impulsive control (IC) are investigated here, and we mainly utilize the multiple-spans step-function method to analyse the stability conditions of the considered systems, which can be counted as a generalization of the Lyapunov-like stability method and is less conservative compared with the existing traditional Lyapunov-like function method. Moreover, it is the first time that this method employed for the stability of systems with IC and time delay. Two examples of equidistant impulses of nonlinear autonomous system and non-equidistant impulses of linear time-varying system by using two-spans step-function method are presented to validate the utility of the presented approach, respectively. Besides, the Zeno behavior of autonomous system without time delay is provided and treated by the presented method, which can better manifest the extensive viability of the method compared with the Lyapunov-like function method.
期刊介绍:
Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.