| 基于神经融合算法的水电厂压力引水系统的辨识 |
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| 引用本文： | 杜庆东,徐凌宇,赵海.基于神经融合算法的水电厂压力引水系统的辨识[J].控制与决策,2001,16(Z1):787-790. |
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| 作者姓名： | 杜庆东 徐凌宇 赵海 |
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| 作者单位： | 东北大学信息科学与工程学院, |
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| 基金项目： | 国家自然科学基金项目(69873007) |
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| 摘 要： | 提出一种用于水轮机调速系统的辨识算法,该算法应用前馈神经网络对分布式嵌入传感器采集到的动态数据进行融合处理,融合中心输出仿真系统模型的关键参数.计算机模拟实验表明,该算法较传统的基于理想条件下的仿真方案具有明显的优势.
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| 关 键 词： | 数据融合 神经网络 系统辨识 嵌入式传感器 分布式 |
| 文章编号： | 1001-0920(2001)z1-0787-04 |
| 修稿时间： | 2001年4月26日 |
Fusion Identification Algorithm for Parameters Approximately Measured System |
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| DU Qing-dong,XU Ling-yu,ZHAO Hai.Fusion Identification Algorithm for Parameters Approximately Measured System[J].Control and Decision,2001,16(Z1):787-790. |
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| Authors: | DU Qing-dong XU Ling-yu ZHAO Hai |
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| Abstract: | An identification algorithm applied to hydro-actiyator is presented. The system identification algorithm is proposed based on neuro-fusion method in which data gathered by embedded-sensor is inputted into the neural networks. In the fusion center, all the data of system status and environment is fused by the neural networks and output characteristic parameters used by traditional identification algorithm. Simulation results for hydro-actiyator system identification show the effectiveness of the fusion identification algorithm. |
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| Keywords: | data fusion neural networks system identification embedded sensors decentralized architecture |
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