| 非线性大系统稳态模型的分散辨识 |
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| 引用本文： | 贺利,黄正良. 非线性大系统稳态模型的分散辨识[J]. 西南科技大学学报, 2002, 17(2): 14-19 |
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| 作者姓名： | 贺利 黄正良 |
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| 作者单位： | 西南科技大学信息与控制工程学院,四川,绵阳,621002 |
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| 摘 要： | 针对大工业过程 ,利用优化过程中设定点的阶跃信号。采用分散辨识的方法 ,获得了大工业过程的稳态模型 ,并给出了其可辨识的充分条件。同传统的辨识方法相比 ,该技术具有精度高 ,计算简单 ,信息传递量少以及对系统干扰小等特点。仿真研究显示了分散辨识技术的有效性和实用性
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| 关 键 词： | 稳态模型 大工业过程 分散辨识 阶跃信号 |
| 文章编号： | 1007-8916(2002)02-0014-06 |
| 修稿时间： | 2001-09-12 |
DECENTRALIZED IDENTIFICATION OF STEADY-STATE MODEIS FOR NONLINEAR LARGE-SCALE SYSTEMS |
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| He Li,Huang Zhengliang. DECENTRALIZED IDENTIFICATION OF STEADY-STATE MODEIS FOR NONLINEAR LARGE-SCALE SYSTEMS[J]. Journal of Southwest University of Science and Technology, 2002, 17(2): 14-19 |
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| Authors: | He Li Huang Zhengliang |
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| Affiliation: | Southwest Uniuersity of Science and Technology |
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| Abstract: | In this paper, a decentralized identification technique is presented, which can only use step signals as input signals and implement the identification of every subprocess in corresponding to the local unit. To compare with the other methods, the technique is simpler and more accurate. Simulation results show that the proposed technique is very efficient and practical. |
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| Keywords: | nonlinear steady-state models decentralized identif ication step signals. |
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