非线性动态系统优化与参数估计集成的神经网络算法
NEURAL NETWORK ALGORITHM OF DYNAMIC INTEGRATED SYSTEM OPTIMIZATION AND PARAMETER ESTIMATION FOR NONLINEAR SYSTEM
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摘要: 基于动态系统优化与参数估计集成的迭代算法,提出一个求解系统优化的神经网络方法,得到一种动态系统优化与参数估计集成的神经网络算法.该算法通过重复求解参数估计问题和修改神经网络,获得原问题的精确最优解.由于系统优化问题用神经网络求解,因此该算法具有求解速度快,易于硬件实现等优点.特别适用于在线优化与控制.Abstract: This paper presents a novel method of solving system optimization problem using neural network,and then,obtains a neural network algorithm for dynamic integrated system optimization and parameter estimation (DISOPE). The algorithm can approach to the optimal solution by solving the parameter estimation problem and modifying the neural network respectively. It can be applicable for on-line optimizing and control.