Title :
Novel exponential stability criteria for neural networks of neutral type with time-varying delay
Author :
Mai, Huanhuan ; Liao, Xiaofeng ; Li, Chuandong ; Zhang, Weiwei
Author_Institution :
Coll. of Comput. Sci., Chongqing Univ., Chongqing
Abstract :
The global issues of the equilibrium points of neural networks (NNs) of neutral type with time-varying delay is investigated in this paper. Novel delay-dependent exponential stability criteria is established by employing free weighting metrics technology, Lyapunov-Krasovskii stability theorem and linear matrix inequalities (LMI) technique. Two examples with numerical simulation are given to illustrate the effectiveness of our results and to compare with the recent results.
Keywords :
Lyapunov methods; asymptotic stability; delay systems; linear matrix inequalities; neurocontrollers; time-varying systems; Lyapunov-Krasovskii stability; delay-dependent exponential stability criteria; free weighting metrics technology; linear matrix inequalities; neural network; time-varying delay; Asymptotic stability; Automatic control; Chemical analysis; Computer science; Delay; Educational institutions; Linear matrix inequalities; Neural networks; Numerical simulation; Stability criteria;
Conference_Titel :
Communications, Circuits and Systems, 2008. ICCCAS 2008. International Conference on
Conference_Location :
Fujian
Print_ISBN :
978-1-4244-2063-6
Electronic_ISBN :
978-1-4244-2064-3
DOI :
10.1109/ICCCAS.2008.4657939
