| 基于 HNN 的弹性连杆机构主动控制系统的参数估计 |
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| 引用本文： | 宋轶民,马文贵.基于 HNN 的弹性连杆机构主动控制系统的参数估计[J].机械科学与技术(西安),1998,17(5):782-784,788. |
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| 作者姓名： | 宋轶民 马文贵 |
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| 作者单位： | 天津大学 |
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| 基金项目： | 国家自然科学基金,天津市自然科学基金 |
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| 摘 要： | 基于Ｈｏｐｆｉｅｌｄ神经网络的优化计算原理，对弹性连杆机构主动控制系统进行了参数估计。首先将ＫＥＤ模型转化为状态空间模型，根据系统输出观测出状态变量，最终采用连续型ＨＮＮ实现了该线性时变系统的参数估计。仿真结果证明了这种方法的有效性。
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| 关 键 词： | 弹性连杆机构 Hopfield神经网络 参数估计 主动控制 |
Parameter Estimation for the Active Control System of Flexible Linkage Mechanisms Based on Hopfield Neural Networks |
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| Song Yimin,Ma Wengui,Zhang Ce.Parameter Estimation for the Active Control System of Flexible Linkage Mechanisms Based on Hopfield Neural Networks[J].Mechanical Science and Technology,1998,17(5):782-784,788. |
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| Authors: | Song Yimin Ma Wengui Zhang Ce |
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| Abstract: | Based on the optimization computing theory of Hopfield Neural Networks(HNN), a parameter estimation method is developed in this paper for the active control system of flexible linkage mechanisms. The state space model of the controlled system is derived firstly; then the state variables are observed by using the outputs of the system; finally, the parameters of the linear time varying system are estimated by means of continuous HNN. Simulation results prove the validity of the proposed method. |
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| Keywords: | Flexible linkage mechanism Hopfield neural network Parameter estimation Active control |
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