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School of Engineering · ANU College of Systems and Society
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.
Computer Labs
Learning outcomes 2
Hardware Labs
Learning outcomes 1, 2
Tutorial Assignments
Learning outcomes 2, 3, 5
Design Project
Learning outcomes 2, 3, 5
Final Exam
Learning outcomes 1, 3, 4
Approximately 130 hours in total over the semester. Work Integrated Learning Projects 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.
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