| 基于神经网络补偿的非线性时滞系统时滞正反馈控制 |
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| 引用本文： | 那靖,任雪梅,黄鸿.基于神经网络补偿的非线性时滞系统时滞正反馈控制[J].自动化学报,2008,34(9):1196-1202. |
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| 作者姓名： | 那靖 任雪梅 黄鸿 |
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| 作者单位： | 1.Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, P.R. China |
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| 摘 要： | A new adaptive time-delay positive feedback controller (ATPFC) is presented for a class of nonlinear time-delay systems. The proposed control scheme consists of a neural networks-based identification and a time-delay positive feedback controller. Two high-order neural networks (HONN) incorporated with a special dynamic identification model are employed to identify the nonlinear system. Based on the identified model, local linearization compensation is used to deal with the unknown nonlinearity of the system. A time-delay-free inverse model of the linearized system and a desired reference model are utilized to constitute the feedback controller, which can lead the system output to track the trajectory of a reference model. Rigorous stability analysis for both the identification and the tracking error of the closed-loop control system is provided by means of Lyapunov stability criterion. Simulation results are included to demonstrate the effectiveness of the proposed scheme.
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| 关 键 词： | Time-delay system neural networks system identification adaptive control linearization compensation |
| 收稿时间： | 2007-5-10 |
| 修稿时间： | 2007-12-7 |
Time-delay Positive Feedback Control for Nonlinear Time-delay Systems with Neural Network Compensation |
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| NA Jing,REN Xue-Mei,HUANG Hong.Time-delay Positive Feedback Control for Nonlinear Time-delay Systems with Neural Network Compensation[J].Acta Automatica Sinica,2008,34(9):1196-1202. |
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| Authors: | NA Jing REN Xue-Mei HUANG Hong |
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| Affiliation: | 1.Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, P.R. China |
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| Abstract: | A new adaptive time-delay positive feedback con- troller(ATPFC)is presented for a class of nonlinear time-delay systems.The proposed control scheme consists of a neural networks-based identification and a time-delay positive feedback controller.Two high-order neural networks(HONN)incorpo- rated with a special dynamic identification model are employed to identify the nonlinear system.Based on the identified model, local linearization compensation is used to deal with the un- known nonlinearity of the system.A time-delay-free inverse model of the linearized system and a desired reference model are utilized to constitute the feedback controller,which can lead the system output to track the trajectory of a reference model. Rigorous stability analysis for both the identification and the tracking error of the closed-loop control system is provided by means of Lyapunov stability criterion.Simulation results are in- cluded to demonstrate the effectiveness of the proposed scheme. |
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| Keywords: | Time-delay system neural networks system identification adaptive control linearization compensation |
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