期刊论文

Huang, Chuangxia

英文

Mathematics and Computers in Simulation

0378-4754

2020

171

127-135

10.1016/j.matcom.2019.06.001

National Natural Science Foundation of ChinaNational Natural Science Foundation of China [11861037, 71471020, 51839002]; Hunan Provincial Natural Science Foundation of ChinaNatural Science Foundation of Hunan Province [2016JJ1001]; Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [15A003, 16C0036]

本校为第一且通讯机构

This paper aims to deal with the asymptotic stability of high-order neutral cellular neural networks (HNCNNs) incorporating proportional delays and D operators. Employing Lyapunov method, inequality technique and concise mathematical analysis proof, sufficient criteria on the global exponential asymptotical stability of the proposed HNCNNs are obtained. The main results provide us some light for designing stable HNCNNs and complement some earlier publications. In addition, simulations show that the theoretical convergence is in excellent agreement with the numerically observed behavior. (C) 20...