Undergraduate Course: Advanced Control Engineering (ELEE11116)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Year 5 Undergraduate) |
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
|
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%
Practical Exam %: 0%
Coursework %: 0%
|
| 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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