Course has been adjusted for remote participation in 2021. Some on-campus activities are available. Attendance at these where possible is encouraged.
This course introduces students to recently developed and advanced techniques for solving complex control problems. The course presents theory and methodology for analysis and modelling of systems and signals, and methods for design and synthesis of feedback controllers. The emphasis of this course will be on robust control and optimal control of dynamical systems.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
Upon successful completion of this course, students will be able to:- Define and explain the basic properties of multivariable linear systems such as controllability, observability, and transfer functions.
- Describe and evaluate nonlinear dynamical systems and apply linearization techniques when appropriate
- Compute signal norms and system gains to evaluate and compare dynamic systems
- Derive linear quadratic optimal controllers for scalar systems, and evaluate how design parameters influence the closed-loop system properties.
- Formulate solutions to linear H-infinity optimal control.
- Explain and discuss the basic principles behind model-predictive control, including how the design parameters influence the closed-loop performance.
- Design and assess model-predictive controllers for real-world dynamical systems.
Professional Skills Mapping
Mapping
of Learning Outcomes to Assessment and Professional Competencies
Indicative Assessment
Problem sets 20%, Hardware lab report 10%, Computer lab 5%, Project report 15%, Project presentation 10%, Final exam 40%The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Workload
12 × 2 hr Lectures, 2 × 3 hr Labs, 6 × 2 hr TutorialsRequisite and Incompatibility
Assumed Knowledge
Mathematics including differential equations, complex numbers and Laplace transforms, matrices, Physics including classical mechanics and electrical circuits.Fees
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:
- 2
- 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.
Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2021 | $4410 |
- International fee paying students
| Year | Fee |
|---|---|
| 2021 | $5880 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
Second Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 6052 | 26 Jul 2021 | 02 Aug 2021 | 14 Sep 2021 | 29 Oct 2021 | In Person | N/A |
