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In this paper, the sliding-mode lag synchronization control scheme is proposed based on the neural network to synchronize two different delayed chaotic systems. An integral delayed sliding surface is presented to design the sliding mode control. The lag synchronization controller is achieved by combining the RBF (radial basis function) neural network with sliding-mode control. Numerical simulations...
In this paper, we integrate impulsive control and adaptive control methods, based on the stability theory of impulsive differential equations, generalized projective synchronization between the general complex dynamical networks with time delay is investigated. A nonlinear controller, updating laws and a linear impulsive controller are proposed. An adaptive-impulsive generalized projective synchronization...
The issues of impulsive control and synchronization for a class of chaotic delayed systems are investigated in this paper. By establishing a generalized delayed Halanay differential inequality on impulsive dynamical systems, some simple yet generic criteria to guarantee impulsive stabilization and synchronization are analytically derived. Compared with some existing works, the distinctive features...
This paper aims to investigate the global robust synchronization problem for two coupled neural networks with both discrete and distributed time-varying delays via output coupling. A general and novel time-varying delayed feedback scheme is introduced to model a more realistic controller. By employing the Lyapunov stability theory, several new and less restrictive criterions are obtained to guarantee...
In the current paper, exponential synchronization is discussed for chaotic neural networks with time-varying delays. Based on Lyapunov stability theory and linear matrix inequality (LMI), a nonlinear feedback control scheme is designed to synchronize the drive system and the response one. The obtained sufficient conditions are in the forms of LMI, so much easier to verify. Moreover, numerical simulation...
The robust synchronization of a class of uncertain chaotic neural networks with parameters perturbation and external disturbances is investigated in this paper. The time-delay feedback control term is introduced in the synchronization controller to achieve the robust synchronization of the drive-response structure of neural networks. Based on the Lyapunov stability theory and linear matrix inequality...
The present paper deals with the issues of robust impulsive synchronization of uncertain complex delayed dynamical networks from the view of dynamics and control. The prime characteristic of the model considered here is that the coupling functions can be linear or nonlinear, even unknown, which can well describe practical architectures of more realistic networks. Based on impulsive stability theory...
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