Parameter estimation for chaotic systems is an important issue in nonlinear science and has
attracted increasing interests from various research fields, which could be essentially …

In this paper, the adaptive synchronization and lag synchronization are considered for
uncertain dynamical system with time delay based on parameter identification and a novel …

We discuss the use of perpetual points for tracing the hidden and the rare attractors of
dynamical systems. The analysis of perpetual points and their co-existence due to the …

This paper is concerned with the parameter identification problem for chaotic dynamic
systems. An improved particle swarm optimization (IPSO), which is a novel evolutionary …

In this paper, for the parameter identification problem of chaotic system, a chaotic
gravitational search algorithm (CGSA) is proposed. At first, an iterative chaotic map with …

This paper presents chaos synchronization between two identical Lorenz–Stenflo (LS) and a
new four-dimensional chaotic system (Qi systems) by using active control technique. The …

This paper is concerned with the adaptive synchronization problem for a class of stochastic
delayed neural networks. Based on the LaSalle invariant principle of stochastic differential …

Using synchronization technique based on control theory, we design an active controller
which enables the synchronization of two identical Rikitake two-disc dynamo systems …

In this paper, the problem of adaptive synchronization is investigated for a class of Cohen–
Crossberg neural networks with mixed time delays. Based on a Lyapunov–Krasovskii …

In this Letter, synchronization of a class of chaotic neural networks with known or unknown
parameters is investigated. By combing the adaptive control and linear feedback with update …