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| 多输入多输出复杂过程的模糊建模 | |
| 引用本文： | 朱文彪,孙增圻,常佶,陈伟基.多输入多输出复杂过程的模糊建模[J].清华大学学报(自然科学版),2001,41(1):89-91. |
| 作者姓名： | 朱文彪 孙增圻 常佶 陈伟基 |
| 作者单位： | 1. 清华大学 计算机系, 2. 内蒙古工业大学 电气工程系, 3. 澳门大学 |
| 基金项目： | 国家自然科学基金资助项目!(6 96 85 0 0 2 )，内蒙古自然科学基金资助项目!(95 -0 3-4 0 ) |
| 摘 要： | 针对 MIMO复杂过程提出一种通过实验数据获取模糊系统模型的方法 ,即将每一维输入变量的论域进行等间隔分割后确定出模糊规则的前件参数和规则总数 ,再由一种调整算法通过对实验数据的学习得到模糊规则的后件参数。理论分析说明这种模糊规则后件参数学习算法是收敛的、所建模糊模型能够以要求的精度逼近已知的实验数据。仿真举例验证了所述模糊建模方法的有效性并说明了所建模糊规则模型有较好的泛化能力 |
| 关 键 词： | 模糊系统 复杂过程 模糊建模 |
| 文章编号： | 1000-0054(2001)01-0089-03 |
| 修稿时间： | 2000年4月13日 |
Fuzzy modeling for a multi input and multi output complex process |
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| ZHU Wenbiao,Sun Zengqi,CHANG Ji,CHEN Weiji.Fuzzy modeling for a multi input and multi output complex process[J].Journal of Tsinghua University(Science and Technology),2001,41(1):89-91. | |
| Authors: | ZHU Wenbiao Sun Zengqi CHANG Ji CHEN Weiji |
| Institution: | ZHU Wenbiao 1,SUN Zengqi 1,CHANG Ji 2,CHEN Weiji 3 |
| Abstract: | A method is presented for obtaining a fuzzy model for a complex MIMO process using experiment data. The discourse domain of each input variable is divided equally to determine the premise parameters and the total number of fuzzy rules. The consequent parameters of the fuzzy rules are then obtained by a learning algorithm. The learning algorithm and the characteristics of the fuzzy rules model which can approximate the experiment data are shown to converge to any arbitrary accuracy by the theoretical analysis. The effectiveness of the fuzzy modeling method and the generalization ability of the fuzzy rules model are also demonstrated by a simulation example. |
| Keywords: | fuzzy systems complex processes fuzzy modeling |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |