Further results on passivity analysis of neural networks with time-varying delay
- Resource Type
- Conference
- Authors
- Zeng, Hong-Bing; Xiao, Shen-Ping; Zhang, Chang-Fan; Chen, Gang
- Source
- The 26th Chinese Control and Decision Conference (2014 CCDC) Control and Decision Conference (2014 CCDC), The 26th Chinese. :161-165 May, 2014
- Subject
- General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Delays
Biological neural networks
Time-varying systems
Recurrent neural networks
Asymptotic stability
Delay effects
Neural networks
passivity
delay-dependent
Lyapunov-Krasovskii functional
linear matrix inequalities (LMIs)
- Language
- ISSN
- 1948-9439
1948-9447
This paper deals with the problem of passivity analysis for neural networks with both time-varying delay and norm-bounded parameter uncertainties. By further utilizing the information of activation function and employing a reciprocally convex approach to consider the relationship between the time-varying delay and its time-varying interval, some improved delay-dependent passivity conditions are obtained, which are formulated in terms of linear matrix inequalities (LMIs) and can be readily solved by existing convex optimization algorithms. Finally, a numerical example is provided to verify the effectiveness of the proposed techniques.