- Code ENGN4628
- Unit Value 6 units
- Offered by School of Engineering
- ANU College ANU College of Engineering and Computer Science
- Course subject Engineering
- Areas of interest Engineering
- Academic career UGRD
- Prof Ian Petersen
- Mode of delivery In Person
Second Semester 2022
See Future Offerings
In Sem 2 2022, this course is delivered on campus with adjustments for remote participation due to unavoidable COVID constraints.
Optimisation and Control is the study of operation and decision-making over networks. The knowledge and tools in this course can be used in various engineering domains such as communication networks, robotics, smart grids, intelligent transportation systems, biomedical engineering, and financial markets. The emphasis of this course will be on basic continuous statespace optimization theories, dynamic programming principles, linear quadratic optimal control, constrained optimal control and receding horizon control.
Upon successful completion, students will have the knowledge and skills to:
- Address systematically, optimization problems in engineering and in particular continuous state-space convex programming.
- Apply numerical methods to solve complex optimization problems.
- Model and analyse network flow problems and apply dynamic programming principles to solve shortest path problems.
- Define the importance of optimality in feedback control design and derive solutions to linear quadratic optimal control.
- Design and implement receding horizon controllers based on constrained optimal control.
- Computer Labs (5) [LO 2]
- Hardware Labs (10) [LO 1,2]
- Tutorial Assignments (20) [LO 2,3,5]
- Design Project (20) [LO 2,3,5]
- Final Exam (45) [LO 1,3,4]
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Approximately 130 hours in total over the semester.
Requisite and Incompatibility
Assumed KnowledgeCalculus - Integration and techniques of integration. Functions of several variables - visualisation, continuity, partial derivatives and directional derivatives.
Linear Algebra - theory and application of Euclidean vector spaces. Vector spaces: linear independence, bases and dimension; eigenvalues and eigenvectors; orthogonality and least squares.
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
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- Unit value:
- 6 units
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