Direct adaptive fuzzy-neural control of unknown chaotic system

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Abstract
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.

Keywords:
fuzzy_neural_networks /

adaptive control /

chaos /

parameter uncertainties
Authors and contacts
Tan Wen²,

Wang Yao－Nan¹

(1)湖南大学电气与信息工程学院，长沙　410082; (2)湖南科技大学信息与电气工程学院，湘潭　411201湖南大学电气与信息工程学院，长沙　410082
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