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本文提出一种基于约束区域的神经网络模型,构造了它的Liapunov能量函数,运用LaSalle不变性原理证明了它的大范围渐近稳定性,探讨了收敛速率,并给出在求解约束二次规划中的应用。
In this paper, a neural network model based on constrained region is proposed, and its Liapunov energy function is constructed. The large-scale asymptotic stability of the Liapunov energy function is proved by using the LaSalle invariance principle. The convergence rate is discussed. In the application.