Published June 2018
| Version v1
Journal article
On p-th Moment Exponential Stability for Stochastic Cellular Neural Networks with Distributed Delays
Creators
- 1. Guizhou University of Finance and Economics, Guizhou Key Laboratory of Economics System Simulation (China)
- 2. Guizhou University of Finance and Economics, School of Mathematics and Statistics (China)
- 3. Henan University of Science and Technology, School of Mathematics and Statistics (China)
Description
In this paper, a class of stochastic cellular neural networks with distributed delays are investigated. With the help of the method of variation parameter and inequality techniques, some sufficient conditions for the p-th moment exponential stability of the system are established. An example is given to illustrate the feasibility and effectiveness of our main results. Our results obtained in this paper improve and generalize some earlier works reported in the literature.
Additional details
Identifiers
Publishing Information
- Journal Title
- International Journal of Control, Automation and Systems
- Journal Volume
- 16
- Journal Issue
- 3
- Journal Page Range
- p. 1217-1225
- ISSN
- 1598-6446
INIS
- Country of Publication
- Korea, Republic of
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 50019656
- Subject category
- S42: ENGINEERING;
- Descriptors DEI
- NEURAL NETWORKS; STABILITY; STOCHASTIC PROCESSES; VARIATIONS
Optional Information
- Copyright
- Copyright (c) 2018 Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature