نتایج جستجو برای: razumikhin classes

تعداد نتایج: 157637  

Journal: :Fractal and fractional 2022

In this paper, we study the passive problem of uncertain fractional-order neural networks (UFONNs) with time-varying delays. First, give a sufficient condition for asymptotic stability UFONNs bounded delays by using Razumikhin theorem. Secondly, according to above criteria and some properties calculus, delay-dependent that can guarantee passivity is given in form linear matrix inequality (LMI) ...

2016
Address M. Malata Edith Cowan

Recommended Citation Malata, A. M. (2004). The development and evaluation of a childbirth education program for Malawian women. Retrieved from

Journal: :Nonlinear Analysis-Modelling and Control 2023

This article studies the distributed optimization problem for multi-agent systems with communication delays and external disturbances in a directed network. Firstly, algorithm is proposed based on internal model principle which term can effectively compensate environmental disturbances. Secondly, relationship between optimal solution equilibrium point of system discussed through properties Lapl...

Journal: :Discrete and Continuous Dynamical Systems-series B 2022

<p style='text-indent:20px;'>In this paper, by using a pinning impulse controller and hybrid respectively, the research difficulties of asymptotic synchronization finite time cluster time-varying delayed neural networks are studied. On ground Lyapunov stability theorem Lyapunov-Razumikhin method, novel sufficient criterion on is obtained. Utilizing Finite control technology, finite-time a...

Journal: :IEEE Transactions on Automatic Control 2022

In this paper, the authors apply Razumikhin technique to investigate stabilization of hybrid stochastic systems by feedback control based on discrete-time state observations, rather than widely used comparison idea or Lyapunov functional method problem. Further, we extend study asymptotic boundedness systems. The coefficients these considered do not meet usual linear growth condition, but are h...

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