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Syllabus ( ELEC 429 )


   Basic information
Course title: Digital Control Systems
Course code: ELEC 429
Lecturer: Assoc. Prof. Dr. Fuad ALIEW
ECTS credits: 6
GTU credits: 3 ()
Year, Semester: 4, Fall and Spring
Level of course: First Cycle (Undergraduate)
Type of course: Area Elective
Language of instruction: English
Mode of delivery: Face to face
Pre- and co-requisites: none
Professional practice: No
Purpose of the course: To provide basic understanding of principles and design tools of discrete time control systems.
   Learning outcomes Up

Upon successful completion of this course, students will be able to:

  1. Grasp basic understanding of principles and design tools of control theory.

    Contribution to Program Outcomes

    1. Apply the mathematical, scientific and engineering knowledge for real life problems
    2. Design and conduct experiments, as well as analyze and interpret data
    3. Develop an awareness of continuous learning in relation with modern technology
    4. Demonstrate sufficiency in English to follow literature, present technical projects and write articles
    5. Employ modern techniques and operate technical devices

    Method of assessment

    1. Written exam
    2. Homework assignment
  2. Comprehend physical systems modeling

    Contribution to Program Outcomes

    1. Apply the mathematical, scientific and engineering knowledge for real life problems
    2. Design and conduct experiments, as well as analyze and interpret data
    3. Develop an awareness of continuous learning in relation with modern technology
    4. Demonstrate sufficiency in English to follow literature, present technical projects and write articles
    5. Employ modern techniques and operate technical devices

    Method of assessment

    1. Written exam
    2. Homework assignment
  3. Design controllers according to specified performance criteria

    Contribution to Program Outcomes

    1. Apply the mathematical, scientific and engineering knowledge for real life problems
    2. Design and conduct experiments, as well as analyze and interpret data
    3. Develop an awareness of continuous learning in relation with modern technology
    4. Demonstrate sufficiency in English to follow literature, present technical projects and write articles
    5. Employ modern techniques and operate technical devices

    Method of assessment

    1. Written exam
    2. Homework assignment
  4. Analyze systems frequency response

    Contribution to Program Outcomes

    1. Apply the mathematical, scientific and engineering knowledge for real life problems
    2. Design and conduct experiments, as well as analyze and interpret data
    3. Develop an awareness of continuous learning in relation with modern technology
    4. Demonstrate sufficiency in English to follow literature, present technical projects and write articles
    5. Employ modern techniques and operate technical devices

    Method of assessment

    1. Written exam
    2. Homework assignment
   Contents Up
Week 1: Introduction to Digital Control
Week 2: Signal Conversion and Preprocessing
Week 3: The z-transform
Week 4: Transfer Function, Block Diagrams and Signal Flow Graphs
Week 5: Design Using State Variables-1
Week 6: Design Using State Variables-2
Week 7: Midterm Exam
Week 8: Controllability, Observability and Stability
Week 9: Time Domain/ z-Domain Analysis
Week 10: Frequency Domain Analysis
Week 11: Design of Discrete Data Control Systems-1
Week 12: Design of Discrete Data Control Systems-2
Week 13: Quadratic Optimal Control
Week 14: General Review
Week 15*: .
Week 16*: Final Exam
Textbooks and materials: Digital Control Systems, Benjamin Kuo, Second Edition, 2007, Oxford University Press, ISBN-13:978-0195686203
Recommended readings: 1- Discrete-Time Control Systems, Katsuhiko Ogata, Second Edition, 1995, Prentice-Hall.
2- Digital Control System Analysis and Design, Charles L. Phillips, H. Troy Nagle, 1995, Prentice Hall.
  * Between 15th and 16th weeks is there a free week for students to prepare for final exam.
Assessment Up
Method of assessment Week number Weight (%)
Mid-terms: 7 30
Other in-term studies: 0
Project: 0
Homework: 5,11 30
Quiz: 0
Final exam: 16 40
  Total weight:
(%)
   Workload Up
Activity Duration (Hours per week) Total number of weeks Total hours in term
Courses (Face-to-face teaching): 3 13
Own studies outside class: 3 14
Practice, Recitation: 0 0
Homework: 3 5
Term project: 12 2
Term project presentation: 0 0
Quiz: 1 2
Own study for mid-term exam: 12 1
Mid-term: 2 1
Personal studies for final exam: 12 1
Final exam: 2 1
    Total workload:
    Total ECTS credits:
*
  * ECTS credit is calculated by dividing total workload by 25.
(1 ECTS = 25 work hours)
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