Pinning synchronization of directed networks with switching topologies: A multiple Lyapunov functions approach
This paper studies the global pinning synchronization problem for a class of complex
networks with switching directed topologies. The common assumption in the existing related …
networks with switching directed topologies. The common assumption in the existing related …
Stabilization of highly nonlinear stochastic coupled systems via periodically intermittent control
This article considers the stabilization of highly nonlinear stochastic coupled systems
(HNSCSs) with time delay via periodically intermittent control. This article is motivated by …
(HNSCSs) with time delay via periodically intermittent control. This article is motivated by …
Exponential synchronization of delayed memristor-based chaotic neural networks via periodically intermittent control
G Zhang, Y Shen - Neural Networks, 2014 - Elsevier
This paper investigates the exponential synchronization of coupled memristor-based chaotic
neural networks with both time-varying delays and general activation functions. And here …
neural networks with both time-varying delays and general activation functions. And here …
Exponential and adaptive synchronization of inertial complex-valued neural networks: A non-reduced order and non-separation approach
This paper mainly deals with the problem of exponential and adaptive synchronization for a
type of inertial complex-valued neural networks via directly constructing Lyapunov …
type of inertial complex-valued neural networks via directly constructing Lyapunov …
Exponential stabilization and synchronization for fuzzy model of memristive neural networks by periodically intermittent control
The problem of exponential stabilization and synchronization for fuzzy model of memristive
neural networks (MNNs) is investigated by using periodically intermittent control in this …
neural networks (MNNs) is investigated by using periodically intermittent control in this …
Exponential stabilization of memristor-based chaotic neural networks with time-varying delays via intermittent control
G Zhang, Y Shen - IEEE Transactions on Neural Networks and …, 2014 - ieeexplore.ieee.org
This paper is concerned with the global exponential stabilization of memristor-based chaotic
neural networks with both time-varying delays and general activation functions. Here, we …
neural networks with both time-varying delays and general activation functions. Here, we …
Stabilization of stochastic uncertain complex-valued delayed networks via aperiodically intermittent nonlinear control
P Wang, B Zhang, H Su - IEEE Transactions on Systems, Man …, 2018 - ieeexplore.ieee.org
This paper concerns the stabilization problem of stochastic uncertain complex-valued
delayed networks (SUCVDNs) via aperiodically intermittent nonlinear control. It is worth …
delayed networks (SUCVDNs) via aperiodically intermittent nonlinear control. It is worth …
Exponential synchronization of neural networks with time-varying delays via dynamic intermittent output feedback control
This paper addresses the exponential synchronization problem for neural networks with time-
varying delays. First, a novel controller is presented by combining intermittent control with …
varying delays. First, a novel controller is presented by combining intermittent control with …
Global anti-synchronization of a class of chaotic memristive neural networks with time-varying delays
G Zhang, Y Shen, L Wang - Neural networks, 2013 - Elsevier
This paper is concerned with the global exponential anti-synchronization of a class of
chaotic memristive neural networks with time-varying delays. The dynamic analysis here …
chaotic memristive neural networks with time-varying delays. The dynamic analysis here …
Global exponential stabilization and lag synchronization control of inertial neural networks with time delays
J Shi, Z Zeng - Neural Networks, 2020 - Elsevier
The global exponential stabilization and lag synchronization control of delayed inertial
neural networks (INNs) are investigated. By constructing nonnegative function and …
neural networks (INNs) are investigated. By constructing nonnegative function and …