TY - JOUR
T1 - Novel results concerning global robust stability of delayed neural networks
AU - Cao, Jinde
AU - Li, H. X.
AU - Han, Lei
PY - 2006/7
Y1 - 2006/7
N2 - In this paper, several novel sufficient criteria are given, in terms of matrix inequalities, for checking the global robust stability of equilibria for interval neural networks with time delays based on Lyapunov method and linear matrix inequality (LMI) technique. The obtained results remove some restrictions, and improve the earlier works. Also, some remarks and an example are given to show the effectiveness of the proposed results. © 2005 Elsevier Ltd. All rights reserved.
AB - In this paper, several novel sufficient criteria are given, in terms of matrix inequalities, for checking the global robust stability of equilibria for interval neural networks with time delays based on Lyapunov method and linear matrix inequality (LMI) technique. The obtained results remove some restrictions, and improve the earlier works. Also, some remarks and an example are given to show the effectiveness of the proposed results. © 2005 Elsevier Ltd. All rights reserved.
KW - Global robust stability
KW - Interval recurrent neural network
KW - Linear matrix inequality (LMI)
KW - Lyapunov function
UR - http://www.scopus.com/inward/record.url?scp=33644951682&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33644951682&origin=recordpage
U2 - 10.1016/j.nonrwa.2005.03.012
DO - 10.1016/j.nonrwa.2005.03.012
M3 - RGC 21 - Publication in refereed journal
SN - 1468-1218
VL - 7
SP - 458
EP - 469
JO - Nonlinear Analysis: Real World Applications
JF - Nonlinear Analysis: Real World Applications
IS - 3
ER -