一种具有自适应功能的ARMAX建模预报新方案
A New Scheme of Adaptive Modeling and Forecasting for Armax Processes
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摘要: 本文提出了以自校正预报器为主体的,由初建模-STP-再建模三部分组成的对ARMAX 过程的实时建模预报方案,给出了参数增量校正算法和检测不良数据的方法.本方案全部采 用线性估计算法,算法简易、速度快.仿真和实际运行表明本方案具有良好的预报、估计特性.Abstract: In this paper a new modeling and forecasting scheme for ARMAX processes is proposed, which consists of three parts: pre-modeling, selftuning predictor (STP) and remodeling, with the STP as its principal part. Besides, the parameter increment correcting algorithm and the outlier detection method are presented in the scheme. The proposed scheme and algorithms can all be performed by employing linear least-square estimation algorithm, so that its computations are simple and fast. Simulations and practical applications show that this scheme has nice estimation and predication behaviours.
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