Jin-Liang Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Research Interests
Jin-Liang Wang has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Huai-Ning Wu
Beihang University
4 shared publications - Tingwen Huang
Shenzhen University of Advanced Technology
2 shared publications Lei Guo
Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
1 shared publication- Mingqing Xiao
Southern Illinois University Carbondale
1 shared publication Shun-Yan Ren
Tianjin Polytechnic University
1 shared publicationZhi-Chun Yang
Chongqing Normal University
1 shared publication
Latest Publications
- 15 August 2018
- Published by Springer Nature
- p. 145-174
Pinning Synchronization of CDNs with Multi-weights
- 15 August 2018
- Published by Springer Nature
- p. 145-174
Pinning Synchronization of CDNs with Multi-weights
- 14 October 2011
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Neural Networks
- Vol. 22 (12) , 2105-2116
Passivity and Stability Analysis of Reaction-Diffusion Neural Networks With Dirichlet Boundary Conditions
This paper is concerned with the passivity and stability problems of reaction-diffusion neural networks (RDNNs) in which the input and output variables are varied with the time and space variables. By utilizing the Lyapunov functional method combined with the inequality techniques, some sufficient conditions ensuring the passivity and global exponential stability are derived. Furthermore, when the parameter uncertainties appear in RDNNs, several criteria for robust passivity and robust global exponential stability are also presented. Finally, a numerical example is provided to illustrate the effectiveness of the proposed criteria.
- 14 October 2011
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Neural Networks
- Vol. 22 (12) , 2105-2116
Passivity and Stability Analysis of Reaction-Diffusion Neural Networks With Dirichlet Boundary Conditions
This paper is concerned with the passivity and stability problems of reaction-diffusion neural networks (RDNNs) in which the input and output variables are varied with the time and space variables. By utilizing the Lyapunov functional method combined with the inequality techniques, some sufficient conditions ensuring the passivity and global exponential stability are derived. Furthermore, when the parameter uncertainties appear in RDNNs, several criteria for robust passivity and robust global exponential stability are also presented. Finally, a numerical example is provided to illustrate the effectiveness of the proposed criteria.
- 24 June 2011
- Published by Springer Nature in Journal of Engineering Mathematics
- Vol. 74 (1) , 175-188
Passivity analysis of complex dynamical networks with multiple time-varying delays
- 24 June 2011
- Published by Springer Nature in Journal of Engineering Mathematics
- Vol. 74 (1) , 175-188
Passivity analysis of complex dynamical networks with multiple time-varying delays
- 16 March 2011
- Published by Springer Nature in Nonlinear Dynamics
- Vol. 67 (1) , 497-504
Local and global exponential output synchronization of complex delayed dynamical networks
- 16 March 2011
- Published by Springer Nature in Nonlinear Dynamics
- Vol. 67 (1) , 497-504
Local and global exponential output synchronization of complex delayed dynamical networks
- Open Access
- 1 January 2011
- Published by American Institute of Mathematical Sciences (AIMS) in Discrete and Continuous Dynamical Systems-Series B
- Vol. 16 (1) , 393-408
Local and global exponential synchronization of complex delayed dynamical networkswith general topology
In this paper, we consider a generalized complex network possessing general topology, in which the coupling may be nonlinear, time-varying, nonsymmetric and the elements of each node have different time-varying delays. Some criteria on local and global exponential synchronization are derived in form of linear matrix inequalities (LMIs) for the complex network by constructing suitable Lyapunov functionals. Our results show that the obtained sufficient conditions are less conservative than ones in previous publications. Finally, two numerical examples and their simulation results are given to illustrate the effectiveness of the derived results.
- 1 January 2011
- Published by American Institute of Mathematical Sciences (AIMS) in Discrete and Continuous Dynamical Systems-Series B
- Vol. 16 (1) , 393-408
Open AccessLocal and global exponential synchronization of complex delayed dynamical networkswith general topology
In this paper, we consider a generalized complex network possessing general topology, in which the coupling may be nonlinear, time-varying, nonsymmetric and the elements of each node have different time-varying delays. Some criteria on local and global exponential synchronization are derived in form of linear matrix inequalities (LMIs) for the complex network by constructing suitable Lyapunov functionals. Our results show that the obtained sufficient conditions are less conservative than ones in previous publications. Finally, two numerical examples and their simulation results are given to illustrate the effectiveness of the derived results.