- Code ENGN4628
- Unit Value 6 units
- Offered by School of Engineering
- ANU College ANU College of Engineering Computing & Cybernetics
- Course subject Engineering
- Areas of interest Photonics
- Work Integrated Learning Projects
- Academic career UGRD
- Prof Ian Petersen
- Mode of delivery In Person
Second Semester 2024
See Future Offerings
- STEM Course
This course will only be offered from 2022
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.
Work Integrated Learning
In this course, you will undertake a design project. 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 market.
- 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
If you 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). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
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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.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|9168||22 Jul 2024||29 Jul 2024||31 Aug 2024||25 Oct 2024||In Person||N/A|