| 引用本文: | 姚志强,胡启迪.人口系统迁移过程的参数辨识及其仿真[J].控制理论与应用,1994,11(6):664~671.[点击复制] |
| YAO Zhiqiang,HU Qidi.On the Time-Varying Parameters Identification of Migration Process in the Population Dynamics and Its Simulation[J].Control Theory and Technology,1994,11(6):664~671.[点击复制] |
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| 人口系统迁移过程的参数辨识及其仿真 |
| On the Time-Varying Parameters Identification of Migration Process in the Population Dynamics and Its Simulation |
| 摘要点击 1206 全文点击 462 投稿时间：1993-09-15 修订日期：1994-05-10 |
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| DOI编号 |
| 1994,11(6):664-671 |
| 中文关键词 总和迁入率 总和迁出率 迁移模式 模型迁移表 |
| 英文关键词 total immigration rate total outmigration rate migration model model migration schedule |
| 基金项目 |
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| 中文摘要 |
| 本文以系统辨识为工具，提出了迁移过程定量研究的一种方法，即运用随机牛顿法于时变系统中以辨识模型迁移表参量，同时结合卡尔曼滤波技术辨识迁移过程中另一参数—总和迁移率，将这两者融为一体，形成了辨识迁移模型参量的递推算法。本文又借助微分方程的稳定性理论讨论了净迁移情形下的辨识算法的收敛性，给出算法收敛的一个充分条件。 |
| 英文摘要 |
| In this paper the identification algorithm is given for the time-varying parameters of the migration process in the population dynamics. The parameters in model migration schedules are identified by the stochastic. Newton method and total migration rate by Kalman filtering. We connected together the stochastic Newton method with the Kalman filtering to form a recursive algorithm. And it is studied the convergence problem of the algorithm in the case of net migration with the aid of the stability theory of differential equations. |