多变量多步自校正递推预报器及其应用
Multivariable Self-Tuning Recursive Multistep Predictors and Their Applications
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摘要: 基于原始模型的直接辨识,本文提出了两类多输入-多输出(MIMO)系统的多步自校正递 推预报器;推广和改进了解Keyser和Cauwenberghe的多步自校正预报器;给出了油田产油量、产 水量动态预报的应用实例.Abstract: Based on the identification of original modal, two kinds of self-tuning recursive multistep predictors are presented for multiple input-multiple output (MIMO) systems. Keyser and Cauwenberghe's self-tuning multistep predictor, which is based on the identification of some prediction models for single input-single output (SISO) systems, is extended and improved. In addition, the dynamic prediction of the oil and water outputs in the oil field is given as a practical application example.
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