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A New Robust Adaptive Neural Network Backstepping Control for Single Machine Infinite Power System With TCSC

Yanhong Luo Shengnan Zhao Dongsheng Yang Huaguang Zhang

自动化学报(英文版)2020,Vol.7Issue(1):48-56,9.
自动化学报(英文版)2020,Vol.7Issue(1):48-56,9.DOI:10.1109/JAS.2019.1911798

A New Robust Adaptive Neural Network Backstepping Control for Single Machine Infinite Power System With TCSC

A New Robust Adaptive Neural Network Backstepping Control for Single Machine Infinite Power System With TCSC

Yanhong Luo 1Shengnan Zhao 2Dongsheng Yang 1Huaguang Zhang2

作者信息

  • 1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110004
  • 2. School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • 折叠

摘要

关键词

Backstepping control/radial basis function neural network (RBFNN)/robust adaptive control/thyristor controlled series compensation (TCSC)/uniform ultimate boundedness (UUB)

Key words

Backstepping control/radial basis function neural network (RBFNN)/robust adaptive control/thyristor controlled series compensation (TCSC)/uniform ultimate boundedness (UUB)

引用本文复制引用

Yanhong Luo,Shengnan Zhao,Dongsheng Yang,Huaguang Zhang..A New Robust Adaptive Neural Network Backstepping Control for Single Machine Infinite Power System With TCSC[J].自动化学报(英文版),2020,7(1):48-56,9.

基金项目

This work was supported in part by the National Natural Science Foundation of China (61433004,61703289). (61433004,61703289)

自动化学报(英文版)

OACSCDCSTPCDEI

2329-9266

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