2024 Faculty Courses School of Computing Undergraduate major in Computer Science
Control Systems
- Academic unit or major
- Undergraduate major in Computer Science
- Instructor(s)
- Shogo Hamada
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 5-6 Tue / 5-6 Fri
- Class
- -
- Course Code
- CSC.T374
- Number of credits
- 200
- Course offered
- 2024
- Offered quarter
- 4Q
- Syllabus updated
- Mar 14, 2025
- Language
- Japanese
Syllabus
Course overview and goals
From machines and electric circuits to chemical plants to computing systems and to biological systems, modeling and controlling systems by leveraging information is one of the fundamental pillars of modern engineering. This course provides a systematic understanding of the basics of feedback control. Using the Laplace transform as a foundation, the course covers analytical methods for feedback control systems, stability determination techniques, and basic control system design methods. The primary objective is to develop practical skills in control systems design through an understanding of design methods based on frequency response. Later in the course, we will further explore the basics of digital control for system implementation and explore applications in various fields, including computer science. By covering the fundamentals and advanced applications of feedback control, this course aims to provide comprehensive knowledge to apply control theory across a diverse range of fields.
Course description and aims
To learn the basis of analysis and synthesis methods for control systems. In particular, the following issues will be emphasized:
- Advantages of feedback control
- Frequency responses
- Internal stability of feedback control systems
- Synthesis of feedback control systems: PID control, phase lead/lag compensators
- Introduction to digital control
- Matlab and its Control Systems Toolbox
Keywords
Feedback control, dynamical systems, transfer functions, stability, frequency response, Bode diagram, controller synthesis, digital control
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
This lecture will be given mostly in the lecture style. Participants will be given assignments, which need to be handed in by the specified dates.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Introduction to control systems | History of automatic control, Current state-of-the-art technologies |
| Class 2 | Systems models and transfer functions | System models and transfer functions, Criterion for systems stability, Using Matlab Control Toolbox |
| Class 3 | Frequency response (1) | Characterization of systems through their responses to sinusoidal inputs, Frequency responses |
| Class 4 | Frequency response (2) | Vector plots, Bode diagrams |
| Class 5 | Stability of feedback systems (1) | Nyquist's stability criterion |
| Class 6 | Stability of feedback systems (2) | Gain/phase margins |
| Class 7 | Properties of feedback control systems | Characterizations of sensitivity functions of feedback systems, types of control systems |
| Class 8 | Synthesis of feedback control systems (1) | PID control |
| Class 9 | Synthesis of feedback control systems (2) | Phase lead/lag techniques |
| Class 10 | Digital control (1): Introduction | Control by digital equipments |
| Class 11 | Digital control (2): Discrete-time systems and their analysis | z transform, difference equations, transfer functions |
| Class 12 | Digital control (3): Sampling and discretization, digital re-design | Discretization of continuous-time systems, Digital re-designs of controllers |
| Class 13 | Applications of control systems (1) | Introduction to the applications of control systems in various fields |
| Class 14 | Applications of control systems (2) | Introduction to the applications of control systems in various fields |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
T. Sugie and M. Fujita, Introduction to Feedback Control, Corona (1999)
Reference books, course materials, etc.
Other material will be handed out during the lectures.
Evaluation methods and criteria
Assignments (40%) and Final exam (60%)
Related courses
- CSC.T362 ： Numerical Analysis
- CSC.T351 ： System Analysis
- CSC.T373 ： Dynamical Systems
- CSC.T342 ： Problem Solving and Decision Making
Prerequisites
Recommended prerequisites: Systems Analysis and Dynamical Systems