%0 Journal Article
%T Direct adaptive fuzzy-neural control of unknown chaotic system
不确定混沌系统的直接自适应模糊神经网络控制
%A Tan Wen
%A Wang Yao-Nan
%A
谭 文
%A 王耀南
%J 物理学报
%D 2004
%I
%X A novel direct adaptive fuzzy neural networks(FNNs)controller for a class of unc ertain nonlinear chaotic system is presented.Takagi-Sugeno fuzzy logic systems a re applied to estimate the unknown function of the chaotic system,then the param eters of adaptive FNNs control law are on-line tuned so that the tracking prob le m is realized,i.e.to force the solutions of the chaotic plant to follow a certai n given trajectory under the condition that all signals involved are uniformly b ounded.Simulation results show the validity of the obtained result.
%K fuzzy_neural_networks
%K adaptive control
%K chaos
%K parameter uncertainties
模糊神经网络,
%K 自适应控制,
%K 混沌,
%K 参数不确定性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=770408C366BC20F7&yid=D0E58B75BFD8E51C&vid=8E6AB9C3EBAAE921&iid=59906B3B2830C2C5&sid=EB0CA356C0937F93&eid=7A54DBF4F861EC00&journal_id=1000-3290&journal_name=物理学报&referenced_num=4&reference_num=18