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一类非线性系统的新型预报器
引用本文:任伟建,姜建国,李龙,呼雪莹. 一类非线性系统的新型预报器[J]. 大庆石油学院学报, 2000, 24(4): 46-48
作者姓名:任伟建  姜建国  李龙  呼雪莹
作者单位:1. 大庆石油学院,自动化与控制工程系,黑龙江,安达,151400
2. 大庆石油学院,计算机科学系,黑龙江,安达,151400
基金项目:黑龙江省自然科学基金资助项目! (F9812 )
摘    要:针对一类时变结构的非线性系统,提出一种结构适应式自校正预报器,当系统结构发生变化时,该预报器能自动地利用增维、减维算法,改变自身的结构,实时估计参数。用结构适应式自校正预报器,对一段时期内全国石油产量按季预报和某油田产量按年预报,平均相对预报误差分别为1.86%和2.12%,比普通的自校正调节器精度有较大提高。

关 键 词:自校正 非线性系统 预报器 时变结构 自校正

New predictor for a class of nonlinear system
REN Wei-jian,JIANG Jian-guo,LI Long,HU Xue-ying. New predictor for a class of nonlinear system[J]. Journal of Daqing Petroleum Institute, 2000, 24(4): 46-48
Authors:REN Wei-jian  JIANG Jian-guo  LI Long  HU Xue-ying
Affiliation:REN Wei|jian 1,JIANG Jian|guo 1,LI Long 2,HU Xue|ying 1
Abstract:For a kind of time|varying nonlinear system, a class of structure|adaptive and self|tuning predictor is proposed. When the structure of the system was varied, the predictor can automatically change its structure by increased dimension and decreased dimension algorithm and estimate its parameter on line. Using the structure adaptive self|tuning adaptive predictor, the national oil output by the quarter and that of a particular oil field by the year were predicted, the average relative predicting errors were 1.86% and 2.12% respectively. The accuracy compared with general self|tuning predictor was greatly improved.
Keywords:nonlinear system  new predictor  time|varying system  self|tuning  
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