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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7161725
