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未知输出反馈非线性时滞系统自适应神经网络跟踪控制

陈为胜 李俊民

陈为胜, 李俊民. 未知输出反馈非线性时滞系统自适应神经网络跟踪控制. 自动化学报, 2005, 31(5): 799-803.
引用本文: 陈为胜, 李俊民. 未知输出反馈非线性时滞系统自适应神经网络跟踪控制. 自动化学报, 2005, 31(5): 799-803.
CHEN Wei-Sheng, LI Jun-Min. Adaptive Neural Tracking Control for Unknown Output Feedback Nonlinear Time-delay Systems. ACTA AUTOMATICA SINICA, 2005, 31(5): 799-803.
Citation: CHEN Wei-Sheng, LI Jun-Min. Adaptive Neural Tracking Control for Unknown Output Feedback Nonlinear Time-delay Systems. ACTA AUTOMATICA SINICA, 2005, 31(5): 799-803.

未知输出反馈非线性时滞系统自适应神经网络跟踪控制

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    通讯作者:

    陈为胜

Adaptive Neural Tracking Control for Unknown Output Feedback Nonlinear Time-delay Systems

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    Corresponding author: CHEN Wei-Sheng
  • 摘要: An adaptive output feedback neural network tracking controller is designed for a class of unknown output feedback nonlinear time-delay systems by using backstepping technique. Neural networks are used to approximate unknown time-delay functions. Delay-dependent filters are introduced for state estimation. The domination method is used to deal with the smooth time-delay basis functions. The adaptive bounding technique is employed to estimate the upper bound of the neural network reconstruction error. Based on Lyapunov-Krasoviskii functional, the semi-global uniform ultimate boundedness (SGUUB) of all the signals in the closed-loop system is proved. The arbitrary output tracking accuracy is achieved by tuning the design parameters and the neural node number. The feasibility is investigated by an illustrative simulation example.
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出版历程
  • 收稿日期:  2004-09-03
  • 修回日期:  2005-04-18
  • 刊出日期:  2005-09-20

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