Jinde Cao, Lin Wang
Both exponential stability and periodic oscillatory solution of bidirectional associative memory (BAM) networks with axonal signal transmission delays are considered by constructing suitable Lyapunov functional and some analysis techniques. Some simple sufficient conditions are given ensuring the gl...
Jianquan Lu, Daniel W. C. Ho, Jinde Cao, Jürgen Kurths
This brief investigates globally exponential synchronization for linearly coupled neural networks (NNs) with time-varying delay and impulsive disturbances. Since the impulsive effects discussed in this brief are regarded as disturbances, the impulses should not happen too frequently. The concept of ...
Jianquan Lu, Jie Zhong, Daniel W. C. Ho, Yang Tang et al.
This paper is devoted to studying the trajectory and state controllability of Boolean control networks (BCNs) with time delay. In contrast to BCNs without time delay, the dynamics of delayed BCNs are determined by a sequence of initial states, named here trajectories. Trajectory controllability mean...
Hongli Li, Cheng Hu, Jinde Cao, Haijun Jiang et al.
This paper studies quasi-projective synchronization (QPS) and complete synchronization (CS) for a class of fractional-order complex-valued neural networks with time delays by designing suitable controllers. To realize QPS and CS, linear feedback controller and adaptive controller are designed, and a...
Fang Liu, Qiang Song, Guanghui Wen, Jinde Cao et al.
This paper considers the bipartite leader-following synchronization in a signed network composed by an array of coupled delayed neural networks by utilizing the pinning control strategy and M-matrix theory, where the communication links between neighboring nodes of the network can be either positive...
Wenwu Yu, Guanrong Chen, Jinde Cao, Jinhu Lü et al.
In this paper, synchronization based parameter identification of dynamical systems from time series is carefully revisited. It is shown, based on rigorous theoretical analysis and concrete counterexamples, that some recent research reports on this issue are incomplete or even incorrect. A linear ind...
Ruoyu Wei, Jinde Cao
In this paper, a new type of neural networks, quaternion-valued memristive neural networks (QVMNNs) is formulated. On the basis of the differential inclusion principle and the Lyapunov functional method, fixed-time synchronization problem is considered in the form of drive-response system for this t...
R. Rakkiyappan, G. Velmurugan, Jinde Cao
Liping Chen, Jinde Cao, Ranchao Wu, J. A. Tenreiro Machado et al.
The paper presents theoretical results on the global asymptotic stability and synchronization of a class of fractional-order memristor-based neural networks (FMNN) with multiple delays. First, the asymptotic stability of fractional-order (FO) linear systems with single or multiple delays is discusse...
Wenying Xu, Jinde Cao, Wenwu Yu, Jianquan Lu
The leader‐following consensus of non‐linear multi‐agent systems is investigated in this study. The authors further study this problem without the assumption that the topology among followers is connected or fixed. Based on a representative general non‐linear model, they address such a leader‐follow...
Xinsong Yang, Zhiguo Feng, Jianwen Feng, Jinde Cao
In this paper, synchronization in an array of discrete-time neural networks (DTNNs) with time-varying delays coupled by Markov jump topologies is considered. It is assumed that the switching information can be collected by a tracker with a certain probability and transmitted from the tracker to cont...
Ruoyu Wei, Jinde Cao, Ahmed Alsaedi
This paper investigates the finite-time synchronization and fixed-time synchronization problems of inertial memristive neural networks with time-varying delays. By utilizing the Filippov discontinuous theory and Lyapunov stability theory, several sufficient conditions are derived to ensure finite-ti...
Wengui Yang, Wenwu Yu, Jinde Cao, Fuad E. Alsaadi et al.
This paper investigates the stability and lag synchronization for memristor-based fuzzy Cohen-Grossberg bidirectional associative memory (BAM) neural networks with mixed delays (asynchronous time delays and continuously distributed delays) and impulses. By applying the inequality analysis technique,...
Xuegang Tan, Jinde Cao, Xiaodi Li, Ahmed Alsaedi
This paper addresses the mean square consensus problem of leader‐following stochastic multi‐agent systems using a distributed event‐triggered control strategy. For each involving agent, generally, the time‐varying (or fixed) delay between controller and actuator is unavoidable. The controller is upd...
Haibo Bao, Ju H. Park, Jinde Cao
This paper deals with the non-fragile state estimation problem for a class of fractional-order memristive BAM neural networks (FMBAMNNs) with and without time delays for the first time. By means of a novel transformation and interval matrix approach, non-fragile estimators are designed and parameter...