New delay dependent stability criteria for recurrent neural networks with interval time-varying delay
- Resource Type
- Authors
- Qiongfen Yang; Xuemei Xie; Quanhong Ren
- Source
- ISA transactions. 53(4)
- Subject
- Mathematical optimization
Applied Mathematics
Linear matrix inequality
Signal Processing, Computer-Assisted
Interval (mathematics)
Models, Theoretical
Stability (probability)
Computer Science Applications
Feedback
Delay dependent
Recurrent neural network
Nonlinear Dynamics
Computer Science::Systems and Control
Control and Systems Engineering
Control theory
Computer Simulation
Electrical and Electronic Engineering
Instrumentation
Algorithms
Mathematics
- Language
- ISSN
- 1879-2022
This paper is concerned with the delay dependent stability criteria for a class of static recurrent neural networks with interval time-varying delay. By choosing an appropriate Lyapunov–Krasovskii functional and employing a delay partitioning method, the less conservative condition is obtained. Furthermore, the LMIs-based condition depend on the lower and upper bounds of time delay. Finally, a numerical example is also designated to verify the reduced conservatism of developed criteria.