Study of fuzzy generalized predictive control algorithm on nonlinear systems

被引：0
|
作者：
Li, Qiang [1 ]
Qu, Baocun [1 ]
Ge, Zhiqiang [1 ]
Zhan, Xisheng [2 ]
机构：
[1] Liaoning Univ Petr & Chem Technol, Sch Informat & Control Engn, Fushun 113001, Liaoning, Peoples R China
[2] Hunan Univ Sci & Technol, Inst Informat & Elect Engn, Xiangtan 411202, Peoples R China
来源：
ICICIC 2006: FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING, INFORMATION AND CONTROL, VOL 1, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A novel control algorithm-fuzzy generalized predictive control (FGPC) algorithm for nonlinear systems is proposed. Fuzzy Gustafon-Kessel algorithm and weighted recursive least-square method are applied to identify the T-S model off-line. The identified model is then combined with generalized predictive control algorithm, to control non-linear systems. And the detailed steps of the algorithm have been given. The simulation results prove that the proposed algorithm has a high degree of identification accuracy,, good robustness, and has obtained a good control result, and therefore is applicable for a variety of non-linear systems.
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页码：437 / +
页数：2
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