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基于观测器的非严格反馈时滞非线性系统的神经网络自适应控制

刘祥 童东兵 陈巧玉

刘祥, 童东兵, 陈巧玉. 基于观测器的非严格反馈时滞非线性系统的神经网络自适应控制[J]. 应用数学和力学, 2021, 42(6): 586-594. doi: 10.21656/1000-0887.410325
引用本文: 刘祥, 童东兵, 陈巧玉. 基于观测器的非严格反馈时滞非线性系统的神经网络自适应控制[J]. 应用数学和力学, 2021, 42(6): 586-594. doi: 10.21656/1000-0887.410325
LIU Xiang, TONG Dongbing, CHEN Qiaoyu. Observer-Based Adaptive Neural Network Control for Nonstrict-Feedback Nonlinear Systems With Time Delays[J]. Applied Mathematics and Mechanics, 2021, 42(6): 586-594. doi: 10.21656/1000-0887.410325
Citation: LIU Xiang, TONG Dongbing, CHEN Qiaoyu. Observer-Based Adaptive Neural Network Control for Nonstrict-Feedback Nonlinear Systems With Time Delays[J]. Applied Mathematics and Mechanics, 2021, 42(6): 586-594. doi: 10.21656/1000-0887.410325

基于观测器的非严格反馈时滞非线性系统的神经网络自适应控制

doi: 10.21656/1000-0887.410325
基金项目: 

上海市自然科学基金(20ZR1422400)

国家自然科学基金(61673257);中国博士后科学基金(2019M661322)

详细信息
    作者简介:

    刘祥(1996—),男,硕士生(E-mail: lxhycb1109@163.com);童东兵(1979—),男,副教授,博士(通讯作者. E-mail: tongdb@sues.edu.cn).

    通讯作者:

    童东兵(1979—),男,副教授,博士(通讯作者. E-mail: tongdb@sues.edu.cn).

  • 中图分类号: O175.13

Observer-Based Adaptive Neural Network Control for Nonstrict-Feedback Nonlinear Systems With Time Delays

Funds: 

The National Natural Science Foundation of China(61673257)

  • 摘要: 针对一类非严格反馈的时滞非线性系统, 研究了一类基于观测器的自适应神经网络控制问题.针对系统中存在未知状态变量的问题, 设计了一个状态观测器.利用反步法和径向基神经网络的逼近特性, 提出了一种自适应神经网络输出反馈控制方法.所设计的控制器保证了闭环系统中所有信号的半全局一致有界性.最后, 通过仿真验证了所提控制方法的有效性.
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出版历程
  • 收稿日期:  2020-10-23
  • 修回日期:  2020-12-04

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