課程名稱 |
系統識別 System Identification |
開課學期 |
111-2 |
授課對象 |
工學院 機械工程學研究所 |
授課教師 |
李宇修 |
課號 |
ME7134 |
課程識別碼 |
522EM3290 |
班次 |
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學分 |
3.0 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期四2,3,4(9:10~12:10) |
上課地點 |
工綜207 |
備註 |
本課程以英語授課。 總人數上限:30人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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課程概述 |
To understand the dynamics of the system and facilitate the controller design, system identification uses experimental input and output data to obtain a mathematical description of the dynamic system. The main focus will be on linear-time-invariant systems. Both non-parametric and parametric models will be investigated. |
課程目標 |
To be able to identify non-parametric and parametric models of discrete-time linear time-invariant systems and learn how to evaluate the quality of the model. |
課程要求 |
Engineering mathematics, digital control system, linear system theory, and preferably with optimization, probability and statistics. |
預期每週課後學習時數 |
6 hours |
Office Hours |
另約時間 |
指定閱讀 |
Ljung, L., “System Identification: Theory for the User,” 2d |
參考書目 |
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評量方式 (僅供參考) |
No. |
項目 |
百分比 |
說明 |
1. |
Homework assignments |
80% |
individual assignment, 4-6 in total |
2. |
Project |
20% |
presentation (70%) + documentation (30%) |
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週次 |
日期 |
單元主題 |
第1週 |
2/23 |
Introduction to system identification |
第2週 |
3/2 |
Unit pulse response identification |
第3週 |
3/9 |
No class due to department duty |
第4週 |
3/16 |
Random variables and stochastic processes |
第5週 |
3/23 |
Correlation method for data processing |
第6週 |
3/30 |
Frequency response function identification (video) |
第7週 |
4/6 |
Fourier analysis and spectral methods (video) |
第8週 |
4/13 |
Transfer function models |
第9週 |
4/20 |
Least square estimation |
第10週 |
4/27 |
Optimization and model fitting |
第11週 |
5/4 |
Evaluation of identified transfer function models |
第12週 |
5/11 |
State-space models |
第13週 |
5/18 |
Eigen-system realization algorithm and observer Kalman filter identification |
第14週 |
5/15 |
Subspace methods |
第15週 |
6/1 |
Summary and advanced topics |
第16週 |
6/8 |
Project presentation |
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