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ELE3105 Computer Controlled Systems

Semester 1, 2020 On-campus Toowoomba
Short Description: Computer Controlled Systems
Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Mechanical and Electrical Engineering
Student contribution band : Band 2
ASCED code : 031399 - Electrical, Electronic Enginee
Grading basis : Graded


Examiner: Bo Song


Pre-requisite: ELE2103 or Students must be enrolled in one of the following Programs: GCNS or GCEN or GDNS or MEPR or MENS or METC


This advanced control course enables students to apply control theory to solve real world problem using the most popular digital or computer techniques. Through modelling how a control system works using systems transfer function or state space equation, students can apply both classical control and modern control technologies to simulate and design an efficient control system to meet real world expectations. In addition, this course leads into the higher level studies such as signal process, digital communication, robot and vision.


Students will learn how analog signals and systems can be discretised using sampling theory and represented in Z-transform. For these digitalized signals and systems, Students will study how controllers can be implemented in computer codes, and finally how a complicated system including advanced controller can be designed, implanted and evaluated in real world or/and through simulations.


The course objectives define the student learning outcomes for a course. On completion of this course, students should be able to:

  1. Convert a continuous time signal or system into discrete time domain;
  2. Derive discrete time systems model both in transfer function and state space equations;
  3. Design a computer feedback loop, including algorithms in software;
  4. Analysis and simulate control systems using state space methods; and
  5. Design control systems in which the controllers have dynamics implemented in software.


Description Weighting(%)
1. Use of the Z-transform for analysis and design of computer control loops 15.00
2. Representation of discrete time dynamics in software 10.00
3. Discrete time state equations and stability analysis 10.00
4. Controller design and 'tuning' with controller dynamics, PID 15.00
5. Pole assignment, root locus and other methods in the complex plane 10.00
6. Derivation of state equations 10.00
7. Modelling and simulation by computer 10.00
8. Matrix analysis of continuous linear systems and controllers 15.00
9. Concepts of controllability and observability 5.00

Text and materials required to be purchased or accessed

ALL textbooks and materials available to be purchased can be sourced from USQ's Online Bookshop (unless otherwise stated). (

Please contact us for alternative purchase options from USQ Bookshop. (

Nise, NS 2019, Control systems engineering, 8th edn, Wiley, Hoboken, NJ.
MATLAB Student Edition, Version 7.0 (or later).

Reference materials

Reference materials are materials that, if accessed by students, may improve their knowledge and understanding of the material in the course and enrich their learning experience.
Dorf, RC & Bishop, RH 2016, Modern control systems, 13th edn, Pearson Prentice Hall, Upper Saddle River, NJ.
Ogata, K 2010, Modern control engineering, 5th edn, Pearson, Boston, MA.
Ogata, K 2012, Discrete-time control systems, 2nd edn, Prentice Hall, Englewood Cliffs, NJ.

Student workload expectations

Activity Hours
Assessments 36.00
Examinations 2.00
Lectures 39.00
Private Study 65.00
Tutorials 13.00

Assessment details

Description Marks out of Wtg (%) Due Date Objectives Assessed Notes
Assignment 1 200 20 20 Apr 2020 1,3
Assignment 2 200 20 22 May 2020 2,3
Online Exam 600 60 End S1 1,2,3 (see note 1)

  1. This will be an open examination. Students will be provided further instruction regarding the exam by their course examiner via StudyDesk. The examination date will be available via UConnect when the official examination timetable has been released.

Important assessment information

  1. Attendance requirements:
    It is the students' responsibility to attend and participate appropriately in all activities (such as lectures, tutorials, laboratories and practical work) scheduled for them, and to study all material provided to them or required to be accessed by them to maximise their chance of meeting the objectives of the course and to be informed of course-related activities and administration.

  2. Requirements for students to complete each assessment item satisfactorily:
    To satisfactorily complete an assessment item a student must achieve at least 50% of the marks or a grade of at least C-. Students do not have to satisfactorily complete each assessment item to be awarded a passing grade in this course. Refer to Statement 4 below for the requirements to receive a passing grade in this course.

  3. Penalties for late submission of required work:
    Students should refer to the Assessment Procedure (point 4.2.4)

  4. Requirements for student to be awarded a passing grade in the course:
    Due to COVID-19 the requirements for S1 2020 are: To be assured of receiving a passing grade a student must achieve at least 50% of the total weighted marks available for the course.

    Requirements after S1 2020:
    To be assured of receiving a passing grade a student must obtain at least 50% of the total weighted marks available for the course (i.e. the Primary Hurdle), and have satisfied the Secondary Hurdle (Supervised), i.e. the end of semester examination by achieving at least 40% of the weighted marks available for that assessment item.

    Supplementary assessment may be offered where a student has undertaken all of the required summative assessment items and has passed the Primary Hurdle but failed to satisfy the Secondary Hurdle (Supervised), or has satisfied the Secondary Hurdle (Supervised) but failed to achieve a passing Final Grade by 5% or less of the total weighted Marks.

    To be awarded a passing grade for a supplementary assessment item (if applicable), a student must achieve at least 50% of the available marks for the supplementary assessment item as per the Assessment Procedure (point 4.4.2).

  5. Method used to combine assessment results to attain final grade:
    The final grades for students will be assigned on the basis of the weighted aggregate of the marks (or grades) obtained for each of the summative assessment items in the course.

  6. Examination information:
    Due to COVID-19 the requirements for S1 2020 are: An Open Examination is one in which candidates may have access to any printed or written material and a calculator during the examination.

    Requirements after S1 2020:
    Candidates are only allowed to access specific materials during a Restricted Examination. The only materials that candidates may use in the restricted examination for this course are:
    i. writing materials (non-electronic and free from material which could give the student an unfair advantage in the examination);
    ii. calculators which cannot hold textual information (students must indicate on their examination paper the make and model of any calculator(s) they use during the examination);

  7. Examination period when Deferred/Supplementary examinations will be held:
    Due to COVID-19 the requirements for S1 2020 are: The details regarding deferred/supplementary examinations will be communicated at a later date.

    Requirements after S1 2020:
    Any Deferred or Supplementary examinations for this course will be held during the next examination period.

  8. University Student Policies:
    Students should read the USQ policies: Definitions, Assessment and Student Academic Misconduct to avoid actions which might contravene University policies and practices. These policies can be found at

Assessment notes

  1. Students must familiarise themselves with the USQ Assessment Procedures (

  2. Referencing in Assignments must comply with the Harvard (AGPS) referencing system. This system should be used by students to format details of the information sources they have cited in their work. The Harvard (APGS) style to be used is defined by the USQ library’s referencing guide. These policies can be found at

Other requirements

  1. A basic familiarity with a programming language or MATLAB is assumed.

Date printed 19 June 2020