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

The work is partially supported by the National Natural Science Foundation of China (Nos. 11861037, 71471020, 51839002); the Hunan Provincial Natural Science Foundation of China (No. 2016JJ1001), the Scientific Research Fund of Hunan Provincial Education Department (Nos. 15A003, 16C0036). The work is partially supported by the National Natural Science Foundation of China (Nos. 11861037, 71471020, 51839002); the Hunan Provincial Natural Science Foundation of China (No. 2016JJ1001), the Scientific Research Fund of Hunan Provincial Education Department (Nos. 15A003, 16C0036). ☆ The work is partially supported by the National Natural Science Foundation of China (Nos. 11861037, 71471020, 51839002); the Hunan Provincial Natural Science Foundation of China (No. 2016JJ1001), the Scientific Research Fund of Hunan Provincial Education Department (Nos. 15A003, 16C0036).

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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 agreem...