課程介紹
系統識別
System Identification — 114-2 Elective course (3.0 credits). English-taught. Linear-time-invariant system modeling from experimental data.
ME7134 Curriculum Number
114-2 Semester
3.0 Credits
30 Seat Limit
✦ Course Information
| Course title | 系統識別 / System Identification |
|---|---|
| Semester | 114-2 |
| Designated for | College of Engineering · Department of Mechanical Engineering / Graduate Institute of Mechanical Engineering |
| Curriculum Number | ME7134 |
| Curriculum Identity Number | 522M3290 |
| Class | — |
| Credits | 3.0 |
| Full / Half Yr. | Half |
| Required / Elective | 選修 (Elective) |
| Remarks | 本課程以英語授課。修課總人數 30 人（本校 30 人）。 |
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Class Section
| Class | Instructor | Time | Location |
|---|---|---|---|
| — | 李宇修 | Thursday 2, 3, 4 | 機械116 |
Course Description
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.
Course Objective
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.
Course Requirement
- Engineering mathematics, digital control system, linear system theory, and preferably with optimization, probability and statistics.
- Student Workload (Expected weekly study hours before and/or after class): —
- Office Hours: *此 Office Hour 需要提前預約
- Designated reading: Ljung, L., "System Identification: Theory for the User," 2d
References
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—
Grading
| No. | Item | % | Explanations for the conditions |
|---|---|---|---|
| 1. | Homework assignments | 35% | 4-6 assignments |
| 2. | Exam | 30% | 2-page A4-sized cheat sheet and engineering calculators only |
| 3. | Project | 35% | maximum 2 people per group |
評量方式
本校尚無訂定 A+ 比例上限。
等第制
本校採用等第制評定成績，學生成績評量辦法中的百分制分數區間與單科成績對照表僅供參考，授課教師可依等第定義調整分數區間。詳見學習評量專區。
Progress
| Week | Date | Topic |
|---|---|---|
| 第 1 週 | 2/26 | Introduction to system identification |
| 第 2 週 | 3/05 | Unit pulse response identification |
| 第 3 週 | 3/12 | Random variables and stochastic processes |
| 第 4 週 | 3/19 | Correlation method for data processing |
| 第 5 週 | 3/26 | Frequency response function identification |
| 第 6 週 | 4/02 | Fourier analysis and spectral methods |
| 第 7 週 | 4/09 | Transfer function models |
| 第 8 週 | 4/16 | Least square estimation |
| — | 4/23 | Exam |
| 第 9 週 | 4/30 | — |
| 第 10 週 | 5/07 | Optimization and model fitting |
| 第 11 週 | 5/14 | Evaluation of identified transfer function models |
| 第 12 週 | 5/21 | Review of linear algebra |
| 第 13 週 | 5/28 | The Ho-Kalman method |
| 第 14 週 | — | Subspace methods |
| 第 15 週 | 6/04 | Project presentation |
| 第 16 週 | 6/11 | Project presentation |
