Postgraduate Course: Advanced Control Engineering (MSc) (PGEE11271)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course provides an in-depth exploration of control techniques fundamental to the operation of autonomous systems. Starting with a foundation in control theory, the course systematically builds on classic and contemporary control strategies. It covers topics such as state space modelling, control architectures, and the implementation of discrete-time controllers. Practical skills are emphasized through MATLAB/Simulink exercises, helping students design and analyse controllers for multivariable systems with real-world applications. |
| Course description |
- Fundamental of control systems & PID
- Transfer functions of dynamic systems
- Output feedback control design
- State space modelling of dynamic systems
- State feedback control design
- Observer design
- Discrete time systems and digital control
- Extra optional topics in control theory
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
Course Delivery Information
|
| Academic year 2025/26, Available to all students (SV1)
|
Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 20,
Seminar/Tutorial Hours 10,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
68 )
|
| Assessment (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Written Exam %: 100% |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Derive and analyse linear models of complex systems
- Design and implement control systems for multivariable systems.
- Address uncertainty and measurement limitations in control applications.
- Develop and apply discrete-time controllers suitable for digital platforms.
- Tune and optimize system performance to meet advanced specification criteria.
|
Reading List
- Karl Johan Åstrøm and R. Murry, Feedback Systems: An Introduction for Scientists and Engineers, 2020
- Brian Douglas, The Fundamentals of Control Theory, 2019
- Tyler Veness, Controls Engineering in the FIRST Robotics Competition, 2022
- Sigurd Skogestad, Ian Postlethwaite, Multivariable Feedback Control: Analysis and Design, 2005
- Michael Green, Linear Robust Control, Dover Publications Inc
- Steven L. Brunton, J. Nathan Kutz, Data-Driven Science and Engineering Machine Learning, Dynamical Systems, and Control, 2022
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Feedback systems,control systems,transfer functions,state space modelling,open-loop control |
Contacts
| Course organiser | Dr Michael Merlin
Tel: (0131 6)50 5726
Email: mmerlin@exseed.ed.ac.uk |
Course secretary | Ms Viola Brunori
Tel: (0131 6)50 5687
Email: vbrunori@ed.ac.uk |
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