A novel neurodynamic reaction-diffusion model for solving linear variational inequality problems and its application
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所属单位：理学院
发表刊物：Appl. Math. Comput.
摘要：In this paper, we present a new delayed projection neural network with reaction-diffusion terms for solving linear variational inequality problems. The proposed neural network possesses a simple one-layer structure. By employing the differential inequality technique and constructing a new Lyapunov–Krasovskii functional, we derive some novel sufficient conditions ensuring the globally exponential stability. These conditions are dependent on diffusions and the monotonicity assumption is unnecessary. Furthermore, the considered neural network can solve quadratic programming problems. Finally, several applicable examples are provided to illustrate the satisfactory performance of the proposed neural network. © 2018 Elsevier Inc.
ISSN号：0096-3003
是否译文：否
发表时间：2019-01-01
合写作者：赵洪涌
通讯作者：沙春林