Global Exponential Robust Stability of Reaction-Diffusion Interval Neural Networks with Variable Coefficients and Delays
This paper is devoted to investigation of the existence of the equilibrium point and its global exponential robust stability for reaction-diffusion interval neural networks with variable coefficients and timevarying delays by means of the topological degree theory and Lyapunov-functional method. Since the diffusion phenomena,variable coefficients, time delay and the perturbation due to noises as well as some unforced man-made faults could not be ignored in neural networks, The model presented here is close to the actual systems, and the sufficient conditions on global exponential robust stability established in this paper, which are easily verifiable, have a wider adaptive range.
Lijing Zhang Yonggui Kao Cunchen Gao
College of Information Science and Engineering, Ocean University of China ,Qingdao, 266071 College of Information Science and Engineering, Ocean University of China ,Qingdao, 266071;Departmen Department of Mathematics Ocean University of China ,Qingdao, 266071, P.R. China
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）