DocumentCode :
2797348
Title :
To Solve Lorenz System by Sliding Mode Controller Based on Interval Type-2 Fuzzy Logic
Author :
Guo, Nai Ren ; Kuo, Chao-Lin ; Lin, Ming Hong ; Tsai, Tzong Jiy
Author_Institution :
Dept. of Electr. Eng., Tung Fang Inst. of Technol., Kaohsiung, Taiwan
Volume :
1
fYear :
2009
fDate :
Nov. 30 2009-Dec. 1 2009
Firstpage :
27
Lastpage :
30
Abstract :
In this manuscript, we present a novel method to solve Lorenz chaos problem. As we known, the traditional fuzzy logic control method, it spends a lot of time to determine the membership functions and fuzzy if-then rules by trial-and-error tuning. To overcome these drawbacks, we propose to design an interval fuzzy type-2 controller with the sliding surface. The fuzzy if-then rules are defined based on the sliding surface, and the output of the fuzzy controller is inferred by the proper compositional rule of inference. The motivation behind this scheme is to drive the states of Lorenz system by using the sliding surface. The simulation results indicate that the proposed method is feasible and effective for the Lorenz chaos problem.
Keywords :
chaos; control system synthesis; fuzzy control; fuzzy logic; fuzzy reasoning; nonlinear control systems; variable structure systems; Lorenz chaos problem; Lorenz system; compositional inference rule; fuzzy if-then rules; fuzzy inference; interval type-2 fuzzy logic control; membership functions; sliding mode controller; sliding surface; trial-and-error tuning; Chaos; Chaotic communication; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Linear feedback control systems; Optimal control; Sliding mode control; chaos system; sliding control; type-2 fuzzy logic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3888-4
Type :
conf
DOI :
10.1109/KAM.2009.306
Filename :
5362182
Link To Document :
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