一、課程說明(Course Desc<x>ription)
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<br>Feedback control is widely used in mechatronic systems and other fields, 
<br>especially in fields with stringent performance requirements such as fast 
<br>response and high accuracy (e.g. robot, unmanned vehicles, etc). Through the 
<br>introduction to system modeling, stability, and performance analysis, students 
<br>should develop an understanding of frequency-domain and root-locus methods for 
<br>control system design.
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<br> 二、指定用書(Text Books)
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<br>R. C. Dorf and R. H. Bishop, Modern Control Systems, 13th edition, Pearson 
<br>Education Limited, 2017.
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<br> 三、參考書籍(References)
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<br>Norman S. Nise, Control Systems Engineering, 6th edition, John Wiley &Sons, 
<br>2011.
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<br> 四、教學方式(Teaching Method)
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<br>Blackboard and powerpoint presentation.
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<br> 五、教學進度(Syllabus)
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<br>Chapter 1  Introduction to Control Systems
<br>Chapter 2  Mathematical Models of Systems
<br>Chapter 4  Feedback Control System Characteristics
<br>Chapter 5  The Performance of Feedback Control Systems
<br>Chapter 6  The Stability of Linear Feedback Systems
<br>Chapter 7  The Root Locus Method
<br>Chapter 8  Frequency Response Methods
<br>Chapter 9  Stability in the Frequency Domain
<br>Chapter 10 The Design of Feedback Control Systems
<br>(optional) Chapter 3 and 11 The Design of State Variable Feedback Control 
<br>Systems
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<br> 六、成績考核(Evaluation)
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<br>Homework:                  15%
<br>2 Midterm Exams: 2 x 25% = 50%
<br>Final Exam:                35%
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<br>(作業遲交兩小時內扣15%，超過兩小時則不予計分)
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<br> 七、可連結之網頁位址
<br>國立清華大學eeclass數位學習平台
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<br>八、生成式人工智慧使用規範
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<br>經仔細考量後，本課程授課教師認為不宜於此門課程當中使用生成式人工智慧於課堂學習當中。因本
<br>課程的內容於生成式AI中尚有諸多錯誤，且容易影響學生對基礎核心知識之判讀。
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<br>根據本校公布之佈的「大學教育場域AI協作、共學與素養培養指引」，本門課程採取禁止使用。
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<br>修讀本門課程之學生應注意本門課不得繳交使用生成式人工智慧所產出的作業及報告。若經查核發
<br>現，教師、學校或相關單位有權重新針對作業或報告重新評分或不予計分。
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<br>修讀本課程之學生於選課時視為同意以上倫理聲明。
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