TY - GEN
T1 - Delay-dependent exponential stability analysis of delayed cellular neural networks
AU - Liao, Xiaofeng
AU - Yu, Juebang
AU - Chen, Guanrong
PY - 2002
Y1 - 2002
N2 - For the delayed cellular neural networks, the estimate of exponential convergence rate and exponential stability is considered in this paper. The Lyapunov-Krasovskii functionals combined with linear matrix inequality (LMI) approach are employed to investigate the bound on the cell template and delay-type cell template matrices so that the systems are exponentially stable. Some criteria for the exponential stability which can give information on the delay-dependence are derived.
AB - For the delayed cellular neural networks, the estimate of exponential convergence rate and exponential stability is considered in this paper. The Lyapunov-Krasovskii functionals combined with linear matrix inequality (LMI) approach are employed to investigate the bound on the cell template and delay-type cell template matrices so that the systems are exponentially stable. Some criteria for the exponential stability which can give information on the delay-dependence are derived.
KW - Cellular neural networks
KW - Exponentially stability
KW - Linear matrix inequality
KW - Lyapunov-Krasovskii functional
KW - Time delay
UR - https://www.scopus.com/pages/publications/84976402815
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84976402815&origin=recordpage
U2 - 10.1109/ICCCAS.2002.1179095
DO - 10.1109/ICCCAS.2002.1179095
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0780375475
SN - 9780780375475
VL - 2
SP - 1657
EP - 1661
BT - 2002 International Conference on Communications, Circuits and Systems and West Sino Exposition, ICCCAS 2002 - Proceedings
PB - IEEE
T2 - 1st International Conference on Communications, Circuits and Systems, ICCCAS 2002
Y2 - 29 June 2002 through 1 July 2002
ER -