衰落信道下模糊神经网络的有限域 H 调度状态估计

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中图分类号:TP13 文献标志码:A 文章编号:2095-2945(2025)19-0018-04

Abstract:Inthispaper,thestateestimationproblemofT-Sfuzzyneuralnetworksaffctedbymultipledelayandfading chanelsisstudied.Firstly,anewchannelfading modelisproposed,whichconsidersmultipathefectsandhoppngchanel states.Then,aparalelschedulingestimatorbasedonMarkovjumpchannelisdesigned.Inparticular,theestimatorintroduces time-varyingparametersrelatedtochanelstate.Thesufcientconditionstoguaranteethefinitetimeindexareobtained.Fially, TSFNNsandchanelmodelswithspecificparametersaresimulatedtoprovetheflexibilityandrobustnessofthedesigned estimator in finite time.

Keywords: gain scheduling; state estimation; fuzzy neural network;channel fading; H∞ estimation

模糊神经网络模型具备逻辑理论和经典数学的双重优势,在智能控制领域引发了一系列应用。(剩余4167字)

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