“自校正”优化及在非金属矿业系统投资决策中的应用

Optimization of“Self-Tuning”and Application to Investment Decision of Non-metal Mining System

本文在[1]的自校正控制算法的基础上改进了模型的参数辨识方法,并对其参数估计进行了一些简化。文中分别以投资和产值为控制量与受控量建立了非金属矿业系统的最小方差—预极模型,为该系统的投资和发展提供了重要的决策依据。

On the basis of “self-tuning”control algorithm proposed by authors as noted in reference document(1),the method of parameter identification for models is improved and the model's parameter estimation is simplified in this paper.It uses the investment and output value as control quantity and controlled quantity respectively,the minimum variance forecasting models of non-metal mining system are provided and an important decision basis is furnished for this system's investment and development.