2024 Faculty Courses School of Engineering Department of Systems and Control Engineering Graduate major in Systems and Control Engineering
Network Control Systems
- Academic unit or major
- Graduate major in Systems and Control Engineering
- Instructor(s)
- Takayuki Ishizaki
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 3-4 Fri
- Class
- -
- Course Code
- SCE.C453
- Number of credits
- 100
- Course offered
- 2024
- Offered quarter
- 4Q
- Syllabus updated
- Mar 14, 2025
- Language
- English
Syllabus
Course overview and goals
This course overviews decentralized and distributed control theory, developed from 1980’s in systems and control engineering. For analysis and synthesis of large-scale network systems, such as energy management systems and transportation systems, it is not realistic to apply a standard centralized control theory, intended mainly for mechanical systems. In particular, it is crucial to develop control design methods on the premise that multiple independent entities may perform the design and operation on their own responsibility. First, typical decentralized and distributed control problems with their solution methods are introduced in this course. Then, students learn a modelset-based control design method, relevant to dissipativity theory, in terms of, e.g., the Nyquist stability criteria in classical control theory. Furthermore, they learn basic principles of distributed optimization-based control and retrofit control as control design approaches on the premise of decentralized decision-making.
Course description and aims
This course educates the concepts, problem formulations, solutions and basic principles for network control systems. Through this course, students are expected to learn typical control problems, applications and basic principles of network control systems. This would help students have access to the state-of-the-art in systems and control, necessary for new research on this topic. Students will acquire several background knowledge such as dissipativity theory, optimization theory and retrofit control theory.
Keywords
Network control systems, Decentralized and distributed control, Multi-agent systems, Graph theory, Dissipativity theory, Finite-frequency analysis, Distributed optimization, Retrofit control theory
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
- The lecture will be approximately 70 minutes long with slides.
- Students will be given approximately 30 minutes to complete exercises related to the lecture content.
- The previous exercise will be explained at the beginning of each lecture.
- On-demand video lectures will be provided for students to review the lectures.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Network Control Systems | * Make sure what the course aims at by their learning portfolio. * Understand the basics of decentralized/distributed control by watching the first on-demand lecture and working on the exercise report. |
| Class 2 | Modelset-Based Systems Analysis and Synthesis (1) | * Understand the basics of passivity by watching the second on-demand lecture and working on the exercise report. |
| Class 3 | Modelset-Based Systems Analysis and Synthesis (2) | * Understand the basics of finite frequency analysis by watching the third on-demand lecture and working on the exercise report. |
| Class 4 | Network Systems Design Based on Distributed Optimization | * Understand the basics of distributed optimization by watching the fourth on-demand lecture and working on the exercise report. |
| Class 5 | Retrofit Control for Modularity-in-Design (1) | * Understand the basics of retrofit control by watching the fifth on-demand lecture and working on the exercise report. |
| Class 6 | Retrofit Control for Modularity-in-Design (2) | * Understand the basics of retrofit control by watching the sixth on-demand lecture and working on the exercise report. |
| Class 7 | Course Summary | * Summarize the contents of the course. |
Study advice (preparation and review)
To improve the effectiveness of learning, students are expected to prepare for and review (including assignments) the contents of each class for approximately 100 minutes each by referring to the appropriate sections of the textbook, handouts, and other materials.
Textbook(s)
Necessary documents are provided in the lecture.
Reference books, course materials, etc.
Necessary documents are provided in the lecture.
Evaluation methods and criteria
- Students are assessed on their understanding of the concept of network control systems, theory, solution and their applications.
- The evaluation will be based on the reports of the exercises given in each lecture.
Related courses
- SCE.C202 ： Feedback Control
- SCE.C301 ： Linear System Theory
- SCE.C402 ： Robust Control
- SCE.C531 ： Nonlinear and Adaptive Control
- SCE.C501 ： Optimal Control
- SCE.C502 ： Hybrid Systems Control
Prerequisites
Students should have completed SCE.C.202, SCE.C.301, SCE.C.402, SCE.C.531, SCE.C.501, and SCE.C.502 or have equivalent knowledge.
Contact information (e-mail and phone) Notice : Please replace from ”[at]” to ”@”(half-width character).
tel: 03-5734-3179, email: ishizaki[at]sc.e.titech.ac.jp