Affiliation: | aDepartament of Mathematics, Ocean University of China, Qingdao 266071, PR China bDepartament of Mathematics, Liaocheng University, Liaocheng 252059, PR China cChemical College, Anshan University of Science and Technology, Anshan 114000, PR China |
Abstract: | The authors discuss the existence of the equilibrium point and its global exponential robust stability for reaction–diffusion interval neural networks with time-varying delays by means of the topological degree theory and Lyapunov-functional method. Since the diffusion phenomena, 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 Letter, which are easily verifiable, have a wider adaptive range. |