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基于神经网络的高阶随机非线性系统的状态反馈控制

闵惠芳 段纳

闵惠芳, 段纳. 基于神经网络的高阶随机非线性系统的状态反馈控制. 自动化学报, 2014, 40(12): 2968-2972. doi: 10.3724/SP.J.1004.2014.02968
引用本文: 闵惠芳, 段纳. 基于神经网络的高阶随机非线性系统的状态反馈控制. 自动化学报, 2014, 40(12): 2968-2972. doi: 10.3724/SP.J.1004.2014.02968
MIN Hui-Fang, DUAN Na. Nonlinear Control for Multi-agent Formations with Delays in Noisy Environments. ACTA AUTOMATICA SINICA, 2014, 40(12): 2968-2972. doi: 10.3724/SP.J.1004.2014.02968
Citation: MIN Hui-Fang, DUAN Na. Nonlinear Control for Multi-agent Formations with Delays in Noisy Environments. ACTA AUTOMATICA SINICA, 2014, 40(12): 2968-2972. doi: 10.3724/SP.J.1004.2014.02968

基于神经网络的高阶随机非线性系统的状态反馈控制

doi: 10.3724/SP.J.1004.2014.02968
基金项目: 

Supported by National Natural Science Foundation of China (61104222, 61305149), Natural Science Foundation of Jiangsu Province (BK2011205), 333 High-Level Talents Training Program in Jiangsu Province, Program for Fundamental Research of Natural Sciences in Universities of Jiangsu Province (11KJB510026), and Natural Science Foundation of Jiangsu Normal University (11XLR08)

Nonlinear Control for Multi-agent Formations with Delays in Noisy Environments

Funds: 

Supported by National Natural Science Foundation of China (61104222, 61305149), Natural Science Foundation of Jiangsu Province (BK2011205), 333 High-Level Talents Training Program in Jiangsu Province, Program for Fundamental Research of Natural Sciences in Universities of Jiangsu Province (11KJB510026), and Natural Science Foundation of Jiangsu Normal University (11XLR08)

  • 摘要: 基于神经网络(NN)研究了一类含有未知非线性项的高阶随机不确定系统的自适应状态反馈控制问题. 通过引入径向基函数神经网络(RBF NN) 逼近方法, 运用 backstepping 技术以及选择合适的 Lyapunov 函数, 我们构造了一个自适应状态反馈控制器使得闭环系统是半全局一致最终有界的. 仿真例子验证了设计方法的有效性.
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出版历程
  • 收稿日期:  2013-09-05
  • 修回日期:  2014-06-10
  • 刊出日期:  2014-12-20

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