基于Hopfield神经网络的双线性离散系统最优控制
Optimal Control of Discrete Bilinear System Based on the Hopfield Neural Network
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摘要: 将基于二次型性能指标的离散双线性系统最优控制问题转化为动态规划问题，并用Hopfield神经网络（HNN）求解．该方法具有结构简单、易于硬件实现、求解速度快且能求得精确最优解等特点．在复杂系统的实时优化与控制等方面具有广阔的应用前景．Abstract: Optimal control problems of bilinear system based on the quadratic performance index are converted into dynamic programming problems and are solved by Hopfield neural network(HNN).This method has a simple structure,can be easily implemented in hardware,and can rapidly give the exact optimal solution of dynamic programming.It has promising applications to real-time optimization and control in complex systems.
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