Course Title: Advanced Control Systems (PG)

Part A: Course Overview

Course Title: Advanced Control Systems (PG)

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


125H Electrical & Computer Engineering


Sem 1 2006,
Sem 1 2007,
Sem 1 2009,
Sem 1 2010,
Sem 1 2011,
Sem 1 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016


City Campus


172H School of Engineering


Sem 1 2017,
Sem 1 2019,
Sem 1 2020,
Sem 1 2021,
Sem 1 2022,
Sem 1 2023,
Sem 1 2024

Course Coordinator: Professor Liuping Wang

Course Coordinator Phone: +61 3 9925 2100

Course Coordinator Email:

Course Coordinator Location: 10.8.08

Course Coordinator Availability: Email for appointment

Pre-requisite Courses and Assumed Knowledge and Capabilities

To successfully complete this course, you should be familiar with mathematical models of dynamics system, feedback control systems and mathematic transformation such as Laplace transform.  

A basic knowledge of MATLAB programming is an advantage.

Course Description

This course introduces you to the theories and tools in advanced control systems. You will learn about the concept of controllers such as PID and pole-assignment controllers which are widely used in the process and manufacturing industries. The state-space design methods including state feedback and state observer are also introduced in the later part of this course.
Topics that are covered in this course include: 

Section A: Design and Analysis for Single Input and Single Output Systems
Introduction to mathematical modelling and control systems; Understanding PID controller design and implementation issues; Understanding pole-assignment controller design methods; Understanding frequency response analysis.

Section B: State space design methods.
Control system design using state space models: Background to state space design methods. State feedback controller design. Observer design. State estimate feedback control system design.

Objectives/Learning Outcomes/Capability Development

This course develops the following Program Learning Outcomes:

1 High levels of technical competence in the field
2 Be able to apply problem solving approaches to work challenges and make decisions using sound engineering methodologies

On successful completion of this course, you will be able to:

  1. develop mathematical models and understand the mathematical relationships between the sensitivity functions and how they govern the fundamentals in control systems.
  2. design and fine tune PID controllers and understand the roles of P, I and D in feedback control
  3. design pole-assignment controller and the specific design procedures
  4. develop state-space models
  5. design state feedback controller and state observer 

Overview of Learning Activities

 The learning activities of this course include:

  • Pre-recorded Lectures
  • Attending Tutorials
  • Use of myRMIT Studies to access online reading materials and Lecture Notes
  • Attending computer and hardware simulation activities
  • Completion of written assignments

Overview of Learning Resources

References and lecturer’s notes are available online. 

Overview of Assessment

Laboratory Experiments, Assignments, Final Examination