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Conditions of the Stability Preservation Under Discretization of a Class of Nonlinear Time-Delay Systems

机译:一类非线性时滞系统离散化下的稳定性保持条件

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Nonlinear differential systems with nonlinearities satisfying sector constraints and with constant delays are studied. Such systems belong to well-known class of Persidskii-type systems, and they are widely used for modeling automatic control systems and neural networks. With the aid of the Lyapunov direct method and original constructions of Lyapunov-Krasovskii functionals, we derive conditions of the stability preservation under discretization of the considered differential systems. The fulfilment of these conditions guarantees that the zero solutions of the corresponding difference systems are asymptotically stable for arbitrary values of delays. Moreover, estimates of the convergence rate of solutions are obtained. The proposed approaches are used for the stability analysis of a discrete-time model of population dynamics. An example is given to demonstrate the effectiveness of our results.
机译:研究了具有满足扇区约束和恒定时滞非线性的非线性微分系统。这样的系统属于Persidskii类型系统的著名类,并且它们被广泛地用于自动控制系统和神经网络的建模。借助Lyapunov直接方法和Lyapunov-Krasovskii泛函的原始构造,我们得出了考虑的差分系统离散化下的稳定性保持条件。这些条件的满足保证了对于任意时延值,相应差分系统的零解是渐近稳定的。此外,获得解的收敛速度的估计。所提出的方法用于人口动态离散时间模型的稳定性分析。举例说明了我们的结果的有效性。

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