- Code ENGN8224
- Unit Value 6 units
- Offered by RS Electrical, Energy and Materials Engineering
- ANU College ANU College of Engineering and Computer Science
- Course subject Engineering
- Areas of interest Engineering
- Academic career PGRD
- Prof Ian Petersen
- Mode of delivery In Person
Second Semester 2020
See Future Offerings
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.
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 AssessmentProblem sets 20%, Hardware lab report 10%, Computer lab 5%, Project report 15%, Project presentation 10%, Final exam 40%
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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Workload12 × 2 hr Lectures, 2 × 3 hr Labs, 6 × 2 hr Tutorials
Requisite and Incompatibility
Assumed KnowledgeMathematics including differential equations, complex numbers and Laplace transforms, matrices, Physics including classical mechanics and electrical circuits.
Tuition fees are for the academic year indicated at the top of the page.
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- 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.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|8343||27 Jul 2020||03 Aug 2020||31 Aug 2020||30 Oct 2020||In Person||N/A|