Robust stability for neural networks of neutral-type with mixed time-delays
- Resource Type
- Conference
- Authors
- Qingyu Zhu; Wuneng Zhou; Xiaozheng Mou
- Source
- 2010 8th World Congress on Intelligent Control and Automation Intelligent Control and Automation (WCICA), 2010 8th World Congress on. :2668-2673 Jul, 2010
- Subject
- Robotics and Control Systems
Power, Energy and Industry Applications
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Artificial neural networks
Delay
Robust stability
Stability criteria
Symmetric matrices
Asymptotic stability
Numerical stability
neural networks
neutral-type
discrete and distributed time-delays
robust stability
- Language
In this paper, the robust stability is investigated for neural networks of neutral-type with both discrete and distributed time-varying delays. Based on Lyapunov-Krasovskii stability theory and stochastic analysis approaches, several new criteria are derived to guarantee the robust stability of the system. Some numerical examples are given to demonstrate the applicability of our proposed stability criteria.