TY - GEN
T1 - Improved delay-dependent stability criteria for neural networks with time-varying delay
AU - Yu, Jianjiang
AU - Li, Tao
AU - Sun, Changyin
PY - 2008
Y1 - 2008
N2 - In this paper, an augmented Lyapunov functional, which takes an integral term of state vector into account, is introduced. Owing to the functional, an improved delay-dependent asymptotic stability criterion for delay neural networks is derived in term of LMIs. Moreover, the result is also extended to rate-independent stability criteria for unknown time-varying delay. Finally, numerical examples are given to illustrate the effectiveness of our methods and improvement over the existing ones.
AB - In this paper, an augmented Lyapunov functional, which takes an integral term of state vector into account, is introduced. Owing to the functional, an improved delay-dependent asymptotic stability criterion for delay neural networks is derived in term of LMIs. Moreover, the result is also extended to rate-independent stability criteria for unknown time-varying delay. Finally, numerical examples are given to illustrate the effectiveness of our methods and improvement over the existing ones.
KW - Delay-dependent
KW - Linear matrix inequality (LMI)
KW - Neural networks (NNs)
KW - Stability criterion
UR - https://www.scopus.com/pages/publications/52149110100
U2 - 10.1109/WCICA.2008.4592926
DO - 10.1109/WCICA.2008.4592926
M3 - 会议稿件
AN - SCOPUS:52149110100
SN - 9781424421145
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 213
EP - 217
BT - Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
T2 - 7th World Congress on Intelligent Control and Automation, WCICA'08
Y2 - 25 June 2008 through 27 June 2008
ER -