BBM410 Dynamical Systems
Announcements
- Matlab software will be used in the example simulations.
- Necessary differential calculus and linear algebra background will be provided during the course.
- Online Linear Algebra course by Prof. Gilbert Strang is a useful resource for BBM410.
- Online Differential Equations course by Prof. Arthur Mattuck is another useful resource for BBM410.
- Prerequisites of this course are BBM102 Introduction to Programming II and BBM104 Introduction to Programming Laboratory II.
Course Objectives
The aim of this course is to teach the basic concepts of dynamic systems, to provide an introduction to the analysis of dynamic systems with continuous time representations and to the concept of feedback, and to teach how to perform closed loop system analysis/design in time/frequency domains.
Learning Outcomes
After completing the course, the students will
- have information about the concepts related to dynamic systems
- be able to apply their knowledge about dynamic systems in a simulation environment and develop system analysis capability in the framework of linear and time-invariant systems
- be able to read articles and articles from the current literature and gain in-depth knowledge
Course Contents
- Basic concepts about systems
- System (transfer function, differential equation, state space) representations
- Continuous time linear dynamic systems
- Stability analysis
- Steady state and transient regime analysis
- Frequency domain analysis and PID controllers
- Feedback, state space, controllability, observability
Instructor
Plan
- Course hours: Wednesday 13:00-16:00
- Office hours: Any time the instructor is available [Send email if you cannot access]
- Midterm: 8th week of the semester. During the lecture time, same classroom, open book, open notes and 2 hours. Bring your calculator to the exam.
- Final exam: Open book, open notes, with calculator, 2 hour in-class exam.
- Project: Only masters students prepare term project and write a paper in IEEE double column format. Consult the instructor for project topics.
Grading
- Undergraduate students: Midterm 40%, Final 60%
- Masters students: Midterm 20%, Final 40%, Project 40%
Textbook and Resources
- Katsuhiko Ogata, Modern Control Engineering, 5th Edition, Prentical Hall, 2009.
- David G. Luenberger, "Introduction to Dynamic Systems," John Wiley & Sons, 1979.
- Mehmet Önder Efe, "Otomatik Kontrol Sistemleri," Seçkin Yayıncılık, 2012.
Videos
Son Güncelleme: February 26th, 2020