| 引用本文: | 史忠科.模型辨识新方法及应用[J].控制理论与应用,1995,12(4):524~528.[点击复制] |
| SHI Zhongke.A New Approach for Model Identification and Its Application[J].Control Theory and Technology,1995,12(4):524~528.[点击复制] |
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| 模型辨识新方法及应用 |
| A New Approach for Model Identification and Its Application |
| 摘要点击 803 全文点击 355 投稿时间：1993-12-28 修订日期：1994-12-08 |
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| DOI编号 |
| 1995,12(4):524-528 |
| 中文关键词 辨识判据 系统辨识 数值方法 非线性系统建模 |
| 英文关键词 criterion for model identification system identification numeric method |
| 基金项目 |
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| 中文摘要 |
| 本文提出了一种有效的模型辨识新方法。为了提高数值稳定性和计算效率，本文给出了一种递阶最大信息量（AIC）新判据和参数估计新方法，使单输出系统的极大似然方法及模型辨识的优选判据计算量成倍减少。通过分析标量系统的AIC标准，本文进一步导出了多输出情况下的AIC标准，大大提高了计算效率。 |
| 英文摘要 |
| A new efficient method for nonlinear model identification is presented in this paper. To get high numerical stability and computational efficiency, a new AIC criterion and recursive parameter estimation methods are developed which make both the maximum likelihood method and the optimal criterion for model choice of SISO system very simple. For MIMO system, a new AIC criterion is given and the computation formulas of the cost function is simplified. The results of aerodynamic model identification show that the new method can give accurate model structures of unknown system. |