科技创新与应用2025，Vol.15Issue(19)：18-21,4.DOI:10.19981/j.CN23-1581/G3.2025.19.004
衰落信道下模糊神经网络的有限域H∞调度状态估计
林明 1郭雅婷1
作者信息
- 1. 广东工业大学 自动化学院,广州 510006
- 折叠
摘要
Abstract
In this paper,the state estimation problem of T-S fuzzy neural networks affected by multiple delay and fading channels is studied.Firstly,a new channel fading model is proposed,which considers multipath effects and hopping channel states.Then,a parallel scheduling estimator based on Markov jump channel is designed.In particular,the estimator introduces time-varying parameters related to channel state.The sufficient conditions to guarantee the finite time index are obtained.Finally,TSFNNs and channel models with specific parameters are simulated to prove the flexibility and robustness of the designed estimator in finite time.关键词
增益调度/状态估计/模糊神经网络/信道衰落/H∞估计Key words
gain scheduling/state estimation/fuzzy neural network/channel fading/H∞estimation分类
信息技术与安全科学引用本文复制引用
林明,郭雅婷..衰落信道下模糊神经网络的有限域H∞调度状态估计[J].科技创新与应用,2025,15(19):18-21,4.
