Title :
Robust asymptotic stability condition concerning Markovian jumping BAM neural networks of neutral type with mode-dependent delay
Author :
Qiu, Ji-qing ; Li, Qing ; Wang, Jia ; Zhou, Chang-Jie ; Yang, Kuo
Author_Institution :
Sch. of Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
This paper addresses the problem of robust asymptotic stability for a class of Markovian jumping BAM neural networks of neutral type with mode-dependent delay. Based on Lyapunov stability theory and stochastic analysis approaches, we can get novel robust stability conditions in terms of linear matrix inequalities (LMIs), which can be easily solved by MATLAB LMI toolbox. At last, a numerical example is given to illustrate the effectiveness of the proposed results.
Keywords :
Lyapunov methods; Markov processes; asymptotic stability; content-addressable storage; delays; linear matrix inequalities; neural nets; neurocontrollers; Lyapunov stability theory; Markovian jumping BAM neural networks; linear matrix inequalities; mode-dependent delay; neutral type; robust asymptotic stability; stochastic analysis; Delay; Robustness; Linear matrix inequalities (LMIs); Markovian jumping BAM neural network; mode-dependent delay; neutral type; robust stability;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580653
