NCHU Course Outline
Course Name (中) 系統與控制最佳化方法(7932)
(Eng.) Optimization Methods for Systems and Control
Offering Dept Executive Master Program in Electrical Engineering
Course Type Elective Credits 3 Teacher CHEN, CHENGLUN
Department Executive Master Program in Electrical Engineering / (W)Graduate Language Chinese Semester 2026-FALL
Course Description This course will cover the fundamental aspects of optimization methods and their application in design of control systems.
這門課採用原文參考書，課程教材與評量試卷語言皆為英文，授課語言為中文但專有名詞會以英文為主。
Prerequisites
Relevance of Course Objectives and Core Learning Outcomes(%) Teaching and Assessment Methods for Course Objectives
Course Objectives Competency Indicators Ratio(%) Teaching Methods Assessment Methods
▪ Optimization Fundamentals
▪ Mathematical Review
▪ Unconstrained Optimization
▪ Constrained Optimization
▪ Convex Optimization
▪ Least-Square Analysis (Linear & Nonlinear)
▪ Introduction to MATLAB Optimization Toolbox
▪ Model Predictive Control
▪ Introduction to MATLAB Model Predictive Control Toolbox
Exercises
Lecturing
Written Presentation
Assignment
Quiz
Internship
Course Content and Homework/Schedule/Tests Schedule
Week Course Content
Week 1 Course Info; Optimization Fundamentals
Week 2 Mathematical Review; HW#1
Week 3 Unconstrained Optimization; HW#2
Week 4 Unconstrained Optimization
Week 5 Constrained Optimization (NP); HW#3
Week 6 Constrained Optimization (NP)
Week 7 Constrained Optimization (NP)
Week 8 Midterm exam week; Midterm Exam
Week 9 Convex Optimization; HW#4
Week 10 Least-Square Analysis
Week 11 Introduction to MATLAB Optimization Toolbox; HW#5
Week 12 Model Predictive Control; HW#6
Week 13 Model Predictive Control
Week 14 Model Predictive Control
Week 15 Introduction to MATLAB Model Predictive Control Toolbox
Week 16 Final exam week
self-directed
learning		    02.Viewing multimedia materials related to industry and academia.
Evaluation
Homework 72%
Midterm exam 28%
Textbook & other References
Primary Textbook:
None.

References:
1. E. K. P. Chong and S. H. Zak. An Introduction to Optimization With Applications to Machine Learning (5th edition), John Wiley & Sons, 2024.
2. A. Ravindran et al. Engineering Optimization: Methods and Applications (2nd edition), John Wiley & Sons, 2006.
3. S. S. Rao. Engineering Optimization: Theory and Practice (4th edition), John Wiley & Sons, 2009.
4. J. B. Rawlings, D. Q. Mayne and M. M. Diehl. Model Predictive Control: Theory, Computation and Design, Nob Hill Publishing, 2017.
5. MATLAB Optimization Toolbox User’s Guide, MathWorks Inc.
6. MATLAB Model Predictive Control Toolbox User’s Guide, MathWorks.
Teaching Aids & Teacher's Website
請從課程共享資料夾下載 (加入課程 LINE 群組後會提供連結)
Office Hours

Please respect the intellectual property rights and use the materials and protected electronic files legally. Please respect gender equality.
Update Date, year/month/day：2026/08/15 18:03:19 Printed Date, year/month/day：2026 / 8 / 26
The second-hand book website：http://www.myub.com.tw/