This course will only be offered from 2022
Network 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 state-space optimization theories, dynamic programming principles, linear quadratic optimal control, constrained optimal control and receding horizon control, and distributed control of complex networks.
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.
- Develop distributed controllers for complex network systems.
- Computer Lab (20) [LO null]
- Hardware Lab (10) [LO null]
- Design Project Report (20) [LO null]
- Design Project Presentation (10) [LO null]
- Exam (40) [LO null]
In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle.
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Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
Offerings, Dates and Class Summary Links
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.