In this paper, the problem of stability analysis for a class of impulsive stochastic Cohen–Grossberg neural networks … the existence, uniqueness, and exponential p-stability of the equilibrium point for the addressed impulsive stochastic …, is shown to be simple yet effective for analyzing the stability of impulsive or stochastic neural networks with variable …

an impulsive control strategy and a distributed time delay is defined. Using the theory of the impulsive equation, small … impulsive perturbations on the inherent oscillation are studied numerically, an oscillation which exhibits rich dynamics …

In this paper, we establish a method to study the mean square exponential stability of the zero solution of impulsive … stochastic reaction-diffusion Cohen–Grossberg neural networks with delays. By using the properties of M-cone and inequality … technique, we obtain some sufficient conditions ensuring mean square exponential stability of the zero solution of impulsive …

In this paper, we investigate nonlinear adaptive–impulsive synchronization of chaotic systems. The core of adaptive–impulsive … synchronization of chaotic systems is to design suitable nonlinear adaptive–impulsive controllers to attain certain aims. Based on … invariant principle of impulsive dynamical systems, nonlinear adaptive–impulsive controllers are derived to make the state of …

In this work, we consider a stage-structured pest management SI model with time delay and diseased pests impulsive …

This paper is devoted to the investigation of the oscillation of a class of second-order nonlinear impulsive delay … difference equations. Some interesting results are obtained, and some examples which illustrate that impulsive perturbations play …

of finding paths from the colony of food and uses different versions of Hill Climbing Algorithm (HCA) such as Stochastic …, and the percentage of optimization achieved. The results suggest that proposed Stochastic HCA is significantly average …

nutrients directly into fish population dynamics, the problem is formulated in deterministic and stochastic terms. The … stochastic model recognizes that the planner may take into account the probability of potentially damaging shifts in ecological …