引用本文:朱永红, 姜长生, 费树岷.基于神经网络MIMO非线性系统自适应输出反馈控制[J].控制理论与应用,2005,22(1):23~28.[点击复制]
ZHU Yong-hong, JIANG Chang-sheng, FEI Shu-min.Neural network based adaptive output feedback control for MIMO nonlinear systems[J].Control Theory and Technology,2005,22(1):23~28.[点击复制]
基于神经网络MIMO非线性系统自适应输出反馈控制
Neural network based adaptive output feedback control for MIMO nonlinear systems
摘要点击 1273  全文点击 1330  投稿时间：2003-07-07  修订日期：2004-04-12
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DOI编号  10.7641/j.issn.1000-8152.2005.1.005
  2005,22(1):23-28
中文关键词  MIMO非线性系统  自适应鲁棒控制  高增益观测器  神经网络  输出反馈
英文关键词  MIMO nonlinear systems  adaptive robust control  high-gain observer  neural networks  output feedback
基金项目  国家自然科学基金资助项目(60174045).
作者单位
朱永红, 姜长生, 费树岷 南京航空航天大学 自动化学院,江苏 南京 210016
东南大学 自动化研究所,江苏 南京 210096 
中文摘要
      针对一类具有对象不确定和外部干扰的MIMO(多输入多输出)非线性系统提出了自适应鲁棒输出跟踪控制方案.使用了高斯径向基神经网络自适应补偿对象非线性,高增益观测器被用来估计不能直接测量的输出导数.此方法所设计的控制器不仅保证闭环系统稳定,而且所有状态有界以及跟踪误差一致终值有界.仿真结果充分表明了该方案的有效性和可行性.
英文摘要
      An adaptive robust output feedback control scheme is proposed for a class of multi-input multi-output nonlinear systems with plant uncertainties and external disturbances.The scheme employs a network of Gaussian radial basis functions to adaptively compensate for the plant nonlinearities.A high-gain observer is used to estimate the derivatives of outputs which can not be measured directly.Under mild assumptions,the closed-loop system is proven to be stable.The controller designed can guarantee that all the states in the closed-loop system are bounded and all the tracking errors are uniformly ultimately bounded .Simulation results demonstrate the effectiveness and feasibility of the proposed scheme.