Journal
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
Volume 58, Issue 12, Pages 931-935Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSII.2011.2172523
Keywords
Exponential stability; linear matrix inequalities (LMIs); Lyapunov method; time-delay neural network
Categories
Funding
- State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications [SKLNST-2011-1-01]
- Science Fund for Distinguished Young Scholars of Hebei Province [F2011203110]
- University of China [NCET-08-0658]
- National Natural Science Foundation of China [60974018, 60934003]
Ask authors/readers for more resources
This brief is concerned with the global exponential stability analysis problem for neural networks with time-varying delay. We construct an augmented Lyapunov-Krasovskii functional by using the decompositions of the time delays. In order to deal with the integral terms, the different integral intervals with the same interval length are unified. As a result, no extra inequalities are involved. The novel delay-dependent exponential stability criterion is proposed. Numerical examples are given to demonstrate the effectiveness of the obtained results.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
