计算机工程与科学2012，Vol.34Issue(7)：146-149,4.DOI:10.3969/j.issn.1007-130X.2012.07.027
一个新混沌系统的自适应模糊同步
The Adaptive Fuzzy Synchronization Method for a New Chaotic System
摘要
Abstract
Based on the Takagi-Sugeno (T-S) fuzzy model, an adaptive approach for the synchronization of new chaotic systems, with unknown parameters, is studied. A T-S fuzzy dynamical model is employed to reconstruct the chaotic drive and response systems. The sufficient conditions of global asymptotic stability, by giving the definition of decay rate a , are deduced from two reconstructed chaotic systems, of which the structures are the same. Meanwhile, since the parameters of the drive system are assumed unknown, we design the response system that estimate the parameters of the drive system by an adaptive strategy. In addition, since the designed fuzzy controllers are composed of linear functions, with few rules and simple structures, it is easy to construct such controllers in actual applications. Satisfied numerical simulations show the effectiveness and validity of the adaptive fuzzy synchronization method proposed in this paper.关键词
T-S模型/模糊控制/自适应同步/Lyapunov稳定性Key words
T-S model/fuzzy control/adaptive synchronization/Lyapunov stability theory分类
数理科学引用本文复制引用
任丽梅,刘建民,贾双盈..一个新混沌系统的自适应模糊同步[J].计算机工程与科学,2012,34(7):146-149,4.基金项目
国家自然科学基金资助项目(10872165,10932009) （10872165,10932009）
