|本期目录/Table of Contents|

[1]刘石红.基于T-S模糊模型的非线性系统广义预测控制[J].工业仪表与自动化装置,2016,(06):3-7.
 LIU Shihong.T-S fuzzy model based generalized predictive control for nonlinear systems[J].Industrial Instrumentation & Automation,2016,(06):3-7.
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基于T-S模糊模型的非线性系统广义预测控制(PDF)

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2016年06期
页码:
3-7
栏目:
出版日期:
2016-12-15

文章信息/Info

Title:
T-S fuzzy model based generalized predictive control for nonlinear systems
文章编号:
1000-0682(2016)06-0000-00
作者:
刘石红
(兰州石化职业技术学院,兰州 730060)
Author(s):
LIU Shihong
(Lanzhou Petrochemical College of Vocational Technology, Lanzhou 741001, China)
关键词:
T-S模糊模型广义预测控制采样点线性模型非线性误差迭代修正
Keywords:
T-S fuzzy model generalized predictive control sampling points linear model nonlinear error iterative correction
分类号:
O231
DOI:
-
文献标志码:
A
摘要:
针对离散非线性系统,提出一种基于T-S模糊模型的广义预测控制方法。该方法将采样点的T-S模糊模型转化为采样点线性模型与非线性误差叠加的线性形式,通过迭代修正非线性误差,使具有非线性误差的线性模型预测控制律逐渐逼近采样点T-S模糊模型预测控制律。同时,该预测控制方法也能适用于当系统受输入输出约束时的控制。仿真结果验证了提出的T-S模糊模型广义预测方法有效。
Abstract:
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参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2015-03-22
基金项目:国家自然科学基金(61461046)
作者简介:刘石红
更新日期/Last Update: 1900-01-01