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Adaptive Fault-Tolerant Control for Unknown Affine Nonlinear Systems Based on Self-Organizing RBF Neural Network

Ran Chen Donghua Zhou Li Sheng

自动化学报(英文版)2025,Vol.12Issue(9):1788-1800,13.
自动化学报(英文版)2025,Vol.12Issue(9):1788-1800,13.DOI:10.1109/JAS.2025.125441

Adaptive Fault-Tolerant Control for Unknown Affine Nonlinear Systems Based on Self-Organizing RBF Neural Network

Adaptive Fault-Tolerant Control for Unknown Affine Nonlinear Systems Based on Self-Organizing RBF Neural Network

Ran Chen 1Donghua Zhou 2Li Sheng1

作者信息

  • 1. Department of Automation,Tsinghua University,Beijing 100084,China
  • 2. School of Automation,Southeast University,Nanjing 210096
  • 折叠

摘要

关键词

Adaptive tracking control/fault-tolerant control/self-organizing radial basis function neural network(SRBFNN)/unknown affine nonlinear system

Key words

Adaptive tracking control/fault-tolerant control/self-organizing radial basis function neural network(SRBFNN)/unknown affine nonlinear system

引用本文复制引用

Ran Chen,Donghua Zhou,Li Sheng..Adaptive Fault-Tolerant Control for Unknown Affine Nonlinear Systems Based on Self-Organizing RBF Neural Network[J].自动化学报(英文版),2025,12(9):1788-1800,13.

基金项目

This work was supported in part by the National Natural Science Foundation of China(62033008,62188101,62173343,62073339),the Natural Science Foundation of Shandong Province of China(ZR2024MF072,ZR2022ZD34),and the Research Fund for the Taishan Scholar Project of Shandong Province of China. (62033008,62188101,62173343,62073339)

自动化学报(英文版)

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