DocumentCode
723779
Title
Adaptive control for nonlinear systems by fuzzy systems with vector rules
Author
Liang Luo ; Shile Luo ; Ling Liu
Author_Institution
Coll. of Math. & Stat., Shaoguan Univ., Shaoguan, China
fYear
2015
fDate
23-25 May 2015
Firstpage
397
Lastpage
403
Abstract
The new fuzzy systems with vector rules with scalar and saturator are presented. The number of fuzzy rules is based on the number of input variables. And the adaptive fuzzy controllers are proposed for stability of the nonlinear systems. Theoretical analysis and numerical simulations show the effectiveness of the proposed scheme.
Keywords
adaptive control; fuzzy control; nonlinear control systems; numerical analysis; stability; adaptive fuzzy controllers; fuzzy rules; fuzzy systems; input variables; nonlinear systems; numerical simulations; saturator; scalar; stability; vector rules; Adaptive control; Approximation methods; Fuzzy logic; Fuzzy systems; Input variables; Nonlinear systems; adaptive control; fuzzy systems with vector rules; stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location
Qingdao
Print_ISBN
978-1-4799-7016-2
Type
conf
DOI
10.1109/CCDC.2015.7161725
Filename
7161725
Link To Document