Advanced Control

Undergraduate | 2026

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Area/Catalogue
ENGE X401
Course ID icon
Course ID
206608
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
4
Study abroad and student exchange icon
Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

This hands-on course covers a variety of advanced topics in automatic control system design. This involves time domain descriptions of dynamic systems using state-space system models. Control laws using state-space methods are introduced, including optimal control (LQR and LQG) and advanced PID. State observers are presented, including observer design using both pole placement and optimal (Kalman) observers. The implementation of state space controllers and Kalman filters in digital systems is also covered.

Course learning outcomes

  • Explain control concepts such as controllability, observability, poles and zeros, stability
  • Design optimal control systems
  • Design state estimators
  • Design advanced PID controllers
  • Design Digital Controllers by emulation
  • Implement control systems in MATLAB/Simulink

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A