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課程名稱 |
系統識別
System Identification |
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開課學期 |
110-2 |
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授課對象 |
學程 全電化都會運輸系統基礎技術學分學程 |
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授課教師 |
李宇修 |
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課號 |
ME7134 |
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課程識別碼 |
522EM3290 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期四2,3,4(9:10~12:10) |
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上課地點 |
工綜207 |
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備註 |
本課程以英語授課。全電化運輸學程-核心課程。
總人數上限：30人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1102ME7134_ |
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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 |
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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. Prerequisites: Engineering mathematics, digital control system, linear system theory, and preferably with optimization, probability and statistics. |
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課程目標 |
Know the process of setting up the experiments, processing data, and validating the fitted model for the purpose of system identification. Understand the underlying theories, characteristics, and limitations of different methods. |
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課程要求 |
Engineering mathematics, digital control system, linear system theory, and preferably with linear algebra, probability and statistics |
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預期每週課後學習時數 |
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Office Hours |
另約時間 |
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指定閱讀 |
Ljung, L., “System Identification: Theory for the User,” 2d, Prentice Hall PTR, 1999 |
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參考書目 |
[1] Ljung, L., “System Identification Toolbox 7: Getting Started Guide,”
[2] Ljung, L., “System Identification Toolbox 7: Users Guide,”
[3] Franklin, Gene F., J. David Powell, and Michael L. Workman. Digital control of dynamic systems. Vol. 3. Reading, MA: Addison-wesley, 1998.
[4] Hayes, Monson H. Statistical digital signal processing and modeling. John Wiley & Sons, 2009. |
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
Homework |
80% |
4 to 6 homework assignments |
2. |
Project |
20% |
Oral presentation and short report |
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週次 |
日期 |
單元主題 |
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第1週 |
2/17 |
Introduction to system identification |
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第2週 |
2/24 |
Unit pulse response identification |
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第3週 |
3/03 |
Random variables and stochastic processes |
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第4週 |
3/10 |
Correlation method for data processing |
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第5週 |
3/17 |
Frequency response function identification |
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第6週 |
3/24 |
Frequency analysis |
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第7週 |
3/31 |
Fourier analysis and spectral methods |
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第8週 |
4/07 |
Transfer function models |
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第9週 |
4/14 |
Least square estimation |
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第10週 |
4/21 |
Optimization and model fitting |
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第11週 |
4/28 |
Evaluation of identified transfer function models |
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第12週 |
5/05 |
State-space models |
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第13週 |
5/12 |
Review of linear algebra |
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第14週 |
5/19 |
Eigen-system realization algorithm |
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第15週 |
5/26 |
Subspace methods |
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第16週 |
6/02 |
Summary and advanced topics |
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第17週 |
6/09 |
Project presentation |
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第18週 |
6/16 |
Project presentation |
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