Global anti-synchronization of complex-valued memristive neural networks with time delays

D Liu, S Zhu, K Sun - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
This paper formulates a class of complex-valued memristive neural networks as well as
investigates the problem of anti-synchronization for complex-valued memristive neural …

Anti-synchronization control of a class of memristive recurrent neural networks

A Wu, Z Zeng - Communications in Nonlinear Science and Numerical …, 2013 - Elsevier
In this paper, we formulate and investigate a class of memristive recurrent neural networks.
Two different types of anti-synchronization algorithms are derived to achieve the exponential …

Modified generalized projective synchronization of a new fractional-order hyperchaotic system and its application to secure communication

X Wu, H Wang, H Lu - Nonlinear Analysis: Real World Applications, 2012 - Elsevier
This paper presents a new fractional-order hyperchaotic system. The chaotic behaviors of
this system in phase portraits are analyzed by the fractional calculus theory and computer …

A chaotic secure communication scheme based on synchronization of double-layered and multiple complex networks

L Zhou, F Tan - Nonlinear Dynamics, 2019 - Springer
In this paper, we mainly propose a chaotic secure communication scheme which is based
on the synchronization of double-layered and multiple complex dynamical networks …

Global synchronization in finite time for fractional-order neural networks with discontinuous activations and time delays

X Peng, H Wu, K Song, J Shi - Neural Networks, 2017 - Elsevier
This paper is concerned with the global Mittag-Leffler synchronization and the
synchronization in finite time for fractional-order neural networks (FNNs) with discontinuous …

Global projective synchronization in finite time of nonidentical fractional-order neural networks based on sliding mode control strategy

H Wu, L Wang, P Niu, Y Wang - Neurocomputing, 2017 - Elsevier
In this paper, a novel fractional-order sliding mode control strategy is introduced to
synchronize two nonidentical fractional order neural networks (FNNs) in finite time. Firstly, by …

Robust generalized Mittag-Leffler synchronization of fractional order neural networks with discontinuous activation and impulses

A Pratap, R Raja, C Sowmiya, O Bagdasar, J Cao… - Neural Networks, 2018 - Elsevier
Fractional order system is playing an increasingly important role in terms of both theory and
applications. In this paper we investigate the global existence of Filippov solutions and the …

Complete synchronization, phase synchronization and parameters estimation in a realistic chaotic system

J Ma, F Li, L Huang, WY Jin - Communications in Nonlinear Science and …, 2011 - Elsevier
The two-parameter phase space in certain nonlinear system is investigated and the chaotic
region of parameters are measured to show its chaotic properties. Within the chaotic …

Global Mittag-Leffler projective synchronization for fractional-order neural networks: an LMI-based approach

H Wu, L Wang, Y Wang, P Niu, B Fang - Advances in Difference Equations, 2016 - Springer
This paper is concerned with the global projective synchronization issue for fractional neural
networks in the Mittag-Leffler stability sense. Firstly, a fractional-order differential inequality …

Anti-synchronization and intermittent anti-synchronization of two identical hyperchaotic Chua systems via impulsive control

HL Li, YL Jiang, ZL Wang - Nonlinear Dynamics, 2015 - Springer
This work is concerned with anti-synchronization and intermittent anti-synchronization of two
identical hyperchaotic Chua systems using an impulsive control technique. Sufficient …