Open AccessAdaptive projective synchronization and parameter identification of Takagi-Sugeno fuzzy hyperchaotic systems
Author(s) -
Xingyuan Wang,
Juan Meng
Publication year - 2009
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.58.3780
Subject(s) - control theory (sociology) , synchronization (alternating current) , controller (irrigation) , lyapunov stability , computer science , identification (biology) , scheme (mathematics) , fuzzy logic , adaptive control , stability (learning theory) , identification scheme , mathematics , control (management) , artificial intelligence , machine learning , data mining , mathematical analysis , botany , agronomy , biology , computer network , channel (broadcasting) , measure (data warehouse)
The projective synchronization problems of uncertain hyperchaotic systems is investigated. Based on the Takagi-Sugeno T-S fuzzy modelan adaptive controller and the parameter update rule are designed. The feasibility of the proposed scheme is verified according to Lyapunov stability theory. Using the designed controllerparameters identification and the projective synchronization of uncertain hyperchaotic systems can be achieved simultaneously. Hyperchaotic Lorenz system is employed to illustrate the effectiveness of the proposed scheme.