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本文对误差模型在离散系统中的随机误差的控制进行了分析,寻求最佳的实验效果.该误差模型由零平均非相关过程和马尔科夫过程及已知函数式的随机偏差组成。分析表明,可用一卡尔曼(Kalman)滤波器,一线性预测器和一存储——反馈装置来求得最小均方误差的最佳解。虽然本文所作的误差过程的分析是以火炮火控系统这一简明且有代表性的系统而进行的,但文中所提出的随机最佳预测原理与控制理论同样适用于其它方面。
In this paper, we analyze the control of random error of discrete error model in discrete system, and seek the best experimental results.The error model is composed of zero mean uncorrelated process, Markov process and random deviation of known function. The analysis shows that a Kalman filter, a linear predictor and a memory-feedback device can be used to find the optimal solution of the minimum mean square error. Although the analysis of the error process in this paper is based on the concise and representative system of artillery fire control system, the best and best predictive principle and control theory proposed in this paper are applicable to other aspects as well.