A New Nonlinear Neural Network for Solving QP Problems

In this paper, a new nonlinear neural network is proposed to solving quadratic programming problems subject to linear equality and inequality constraints without any parameter tuning. This nonlinear neural network is proved to be stable in the sense of Lyapunov under certain conditions. Simulation results are further presented to show the effectiveness and performance of this neural network.