A new delayed projection neural network for solving quadratic programming problems with equality and inequality constraints

作者：Sha Chunlin; Zhao Hongyong^*; Ren Fengli

来源：Neurocomputing, 2015, 168: 1164-1172.

DOI：10.1016/j.neucom.2015.05.006

• Projection neural network
• Quadratic programming
• Positive semidefinite
• Time delay
• Globally exponentially stable

In this paper, a new delayed projection neural network is presented for solving quadratic programming problems subject to equality and inequality constraints. Compared with the existing neural networks for solving such problems, the proposed neural network has fewer neurons and a one-layer architecture. Further, we demonstrate the existence and uniqueness of the continuous solution. By using differential inequality technique, the new neural network is shown to be globally exponentially convergent to optimal solution. Finally, recurring to the numerical method, simulation results with some applications show the effectiveness of the proposed neural network.

• 出版日期2015-11-30
• 单位南京航空航天大学