CQUniversity Unit Profile
ENEE20004 Digital Control Systems
Digital Control Systems
All details in this unit profile for ENEE20004 have been officially approved by CQUniversity and represent a learning partnership between the University and you (our student).
The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction included in the profile.
General Information

Overview

This unit will enable you to develop an advanced understanding of digital control techniques applied in industrial control systems. The unit will introduce you to Z-transforms and Z-domain analysis of control systems through transformations. You will design and implement digital filters. You will learn discrete state space modelling and analysis of control systems. The unit will also equip you with knowledge of optimal control techniques such as linear quadratic filtering. You will also learn about important digital control implementation techniques such as proportional-integral-derivative (PID) control, pole placement control, and linear quadratic gaussian (LQG) control. Students will be required to attend a compulsory residential school in order to complete the laboratory experiments. Prior knowledge of the basic concepts of electrical circuit analysis, signals and linear systems, and control systems is assumed.

Details

Career Level: Postgraduate
Unit Level: Level 9
Credit Points: 12
Student Contribution Band: 8
Fraction of Full-Time Student Load: 0.25

Pre-requisites or Co-requisites

There are no requisites for this unit.

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

Offerings For Term 1 - 2026

Melbourne
Mixed Mode
Rockhampton

Attendance Requirements

All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).

Class and Assessment Overview

Recommended Student Time Commitment

Each 12-credit Postgraduate unit at CQUniversity requires an overall time commitment of an average of 25 hours of study per week, making a total of 300 hours for the unit.

Class Timetable

Bundaberg, Cairns, Emerald, Gladstone, Mackay, Rockhampton, Townsville
Adelaide, Brisbane, Melbourne, Perth, Sydney

Assessment Overview

1. In-class Test(s)
Weighting: 30%
2. Laboratory/Practical
Weighting: 30%
3. In-class Test(s)
Weighting: 40%

Assessment Grading

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of 'pass' in order to pass the unit. If any 'pass/fail' tasks are shown in the table above they must also be completed successfully ('pass' grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the 'assessment task' section (note that in some instances, the minimum mark for a task may be greater than 50%). Consult the University's Grades and Results Policy for more details of interim results and final grades.

Previous Student Feedback

Feedback, Recommendations and Responses

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Feedback from Head of Course (HoC)

Feedback

Too many assessments and Learning Outcomes (LOs) are not properly matched to the assessments.

Recommendation

Update Unit Proposal (UUP) should be initiated to review and reduce the number of assessments.

Unit Learning Outcomes
On successful completion of this unit, you will be able to:
  1. Model discrete-time systems from continuous-time systems using methods such as zero-order hold (ZoH), bilinear transform and state-space discretisation
  2. Understand key concepts on linear time invariant (LTI) systems and the application of Z-transform
  3. Analyse the stability and performance of digital control systems using Z-domain techniques such as Jury’s Criterion, Root Locus, Bode plots, and Nyquist plots
  4. Design digital controllers using techniques such as Proportional (P), Proportional-Integral (PI), Proportional-Derivative (PD), and PID type controllers
  5. Design digital controllers using pole placement filters, linear quadratic gaussian (LQG) filters and state space techniques
  6. Document and communicate professional engineering information, including computer-based simulations.

The Learning Outcomes for this unit are linked with the Engineers Australia Stage 1 Competency Standards for Professional Engineers in the areas of 1. Knowledge and Skill Base, 2. Engineering Application Ability and 3. Professional and Personal Attributes at the following levels:
Intermediate
1.1 Comprehensive, theory-based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline. (LO: 1I 2I 3I 4I)
1.4 Discernment of knowledge development and research directions within the engineering discipline. (LO: 1I 2I 3I 4I 5I)
2.3 Application of systematic engineering synthesis and design processes. (LO: 3I 4I 5I)
3.2 Effective oral and written communication in professional and lay domains. (LO: 6I)
3.3 Creative, innovative and pro-active demeanour. (LO: 4I 5I)
3.5 Orderly management of self, and professional conduct. (LO: 6I)
Advanced
1.2 Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences that underpin the engineering discipline. (LO: 1A 2I 3I 4A 5A)
1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline. (LO: 1A 2A 3N 4A)
1.5 Knowledge of engineering design practice and contextual factors impacting the engineering discipline. (LO: 2I 3N 4A 5A)
1.6 Understanding of the scope, principles, norms, accountabilities and bounds of sustainable engineering practice in the specific discipline. (LO: 3N 4A 5I)
2.1 Application of established engineering methods to complex engineering problem solving. (LO: 1N 2I 3I 4A 5A)
2.2 Fluent application of engineering techniques, tools and resources. (LO: 1N 2I 3I 4A 5A 6A)
2.4 Application of systematic approaches to the conduct and management of engineering projects. (LO: 2A 3I 4I 5I 6I)
3.1 Ethical conduct and professional accountability. (LO: 6A)
3.4 Professional use and management of information. (LO: 2I 3I 4I 5A 6A)
3.6 Effective team membership and team leadership. (LO: 6A)
 
 
Note: LO refers to the Learning Outcome number(s) which link to the competency and the levels: N – Introductory, I – Intermediate and A - Advanced.
Refer to the Engineering Postgraduate Units Moodle site for further information on the Engineers Australia's Stage 1 Competency Standard for Professional Engineers and course level mapping information
 

Alignment of Learning Outcomes, Assessment and Graduate Attributes
N/A Level
Introductory Level
Intermediate Level
Graduate Level
Professional Level
Advanced Level

Alignment of Assessment Tasks to Learning Outcomes

Assessment Tasks Learning Outcomes
1 2 3 4 5 6
1 - In-class Test(s) - 30%
2 - Laboratory/Practical - 30%
3 - In-class Test(s) - 40%

Alignment of Graduate Attributes to Learning Outcomes

Graduate Attributes Learning Outcomes
1 2 3 4 5 6
1 - Knowledge
2 - Communication
3 - Cognitive, technical and creative skills
4 - Research
5 - Self-management
6 - Ethical and Professional Responsibility
7 - Leadership
8 - First Nations Knowledges
9 - Aboriginal and Torres Strait Islander Cultures
Textbooks and Resources

Textbooks

Prescribed

Digital Control System Analysis and Design

4th Global Edition (2015)
Authors: Phillips, C. L., Nagle. H. T., and Chakrabortty, A.
Pearson
ISBN: 9781292061887 (pdf); 9781292061221 (paperback)
Supplementary

Digital Control

(2007)
Authors: Moudgalya, K. M.
John Wiley and Sons Ltd
ISBN: 9780470517109 (online); 9780470031445 (paperback)

IT Resources

You will need access to the following IT resources:
  • CQUniversity Student Email
  • Internet
  • Unit Website (Moodle)
  • Students will need access Matab/Simulink to complete some tasks.
Referencing Style

All submissions for this unit must use the referencing style: Harvard (author-date)

For further information, see the Assessment Tasks.

Teaching Contacts
Sujeewa Hettiwatte Unit Coordinator
s.hettiwatte@cqu.edu.au
Schedule
Week 1 Begin Date: 09 Mar 2026

Module/Topic

Modelling of Sampled Data Systems

Chapter

Chapter 3 (Phillips, et al)

Chapter 1 and Chapter 2 (Moudgalya)

Events and Submissions/Topic

Week 2 Begin Date: 16 Mar 2026

Module/Topic

Linear Systems

Chapter

Chapter 2 (Phillips, et al)

Chapter 3 (Moudgalya)

Events and Submissions/Topic

Week 3 Begin Date: 23 Mar 2026

Module/Topic

Z-Transforms

Chapter

Chapter 2 (Phillips, et al)

Chapter 4 (Moudgalya)

Events and Submissions/Topic

Week 4 Begin Date: 30 Mar 2026

Module/Topic

Z-Transforms

Chapter

Chapter 2 (Phillips, et al)

Chapter 4 (Moudgalya)

Events and Submissions/Topic

Week 5 Begin Date: 06 Apr 2026

Module/Topic

Frequency Domain Analysis

Chapter

Chapter 7 (Phillips, et al)

Chapter 5 (Moudgalya)

Events and Submissions/Topic

Week 6 Begin Date: 13 Apr 2026

Module/Topic

Transfer Function Based Controller Design - Structures and Specifications

Chapter

Chapter 8 (Phillips, et al)

Chapter 7 (Moudgalya)

Events and Submissions/Topic

In-class test 1 (30%) Due: Week 6 Monday (13 Apr 2026) 6:00 pm AEST
Vacation Week Begin Date: 20 Apr 2026

Module/Topic

Chapter

Events and Submissions/Topic

Week 7 Begin Date: 27 Apr 2026

Module/Topic

Proportional, Integral, Derivative Controllers

Chapter

Chapter 8 (Phillips, et al)

Chapter 8 (Moudgalya)

Events and Submissions/Topic

Residential Schools are held this week. See the CQUniversity handbook for locations and time information.

Week 8 Begin Date: 04 May 2026

Module/Topic

Pole Placement Controllers

Chapter

Chapter 9 (Phillips, et al)

Chapter 9 and Chapter 10 (Moudgalya)

Events and Submissions/Topic

Week 9 Begin Date: 11 May 2026

Module/Topic

Linear Quadratic Gaussian Control

Chapter

Chapter 11 (Phillips, et al)

Chapter 13 (Moudgalya)

Events and Submissions/Topic

Week 10 Begin Date: 18 May 2026

Module/Topic

State Space Techniques in Controller Design

Chapter

Chapter 9 (Phillips, et al)

Chapter 14 (Moudgalya)

Events and Submissions/Topic

Laboratory Assessment (30%) Due: Week 10 Thursday (21 May 2026) 11:45 pm AEST
Week 11 Begin Date: 25 May 2026

Module/Topic

State Space Techniques in Controller Design

Chapter

Chapter 9 (Phillips, et al)

Chapter 14 (Moudgalya)

Events and Submissions/Topic

Week 12 Begin Date: 01 Jun 2026

Module/Topic

Revision

Chapter

Events and Submissions/Topic

Exam Week Begin Date: 08 Jun 2026

Module/Topic

Chapter

Events and Submissions/Topic

Vacation/Exam Week Begin Date: 15 Jun 2026

Module/Topic

Chapter

Events and Submissions/Topic

In-class test 2 (40%) Due: Vacation/Exam Week Monday (15 June 2026) 11:45 pm AEST
Assessment Tasks

1 In-class Test(s)

Assessment Title
In-class test 1 (30%)

Task Description

This written assessment will assess you on the learning outcomes 1, 2 and 3. It will be held as an Open Book, individual written assessment. It will be held on campus during the time allocated for the Workshop in Week 6. The duration of the test will be 2 hours. The test will consist of three or four problems. For some of the problems, you will require access to a computer with Matlab during the test. Handwritten solutions on A4 sheets must be uploaded to Moodle as a single PDF file at the end of the test. Any Matlab generated results should also be attached to your submission.

AI ASSESSMENT SCALE - NO AI
You must not use AI at any point during the assessment. You must demonstrate your core skills and knowledge.

This assessment is exempted from the 72-hour submission grace period and must be completed by the stated submission date/time.


Assessment Due Date

Week 6 Monday (13 Apr 2026) 6:00 pm AEST


Return Date to Students

We endeavour to return the graded answer scripts through Moodle within two weeks from the closing date of the assessment or the submission date (whichever occurs later)


Weighting
30%

Minimum mark or grade
25%

Assessment Criteria

Each answer to a question in this assignment will be assessed for the criterion accuracy and correct results and given a mark as specified in the assessment.
The Assignment will be checked for accuracy and correct results, including:

  • Correct application of mathematics
  • Answers clearly identified
  • Correct results

In addition, the assignment as a whole will be assessed against the following criteria:

  • Evidence of correct procedures: All necessary steps in analysis are present on correct order
  • Clear presentation of mathematical workings linking given details of the problem to the results obtained
  • Evidence of checking results (mathematical, graphical, logic-common sense)
  • Evidence of understanding of the topic: Explanation of choices made in the analysis (why is procedure required, why this particular procedure)
  • Interpretation of results, example: limitations, direction of vectors, etc.
  • Part marks may be awarded for the correct procedure even if your final answer is incorrect.


Referencing Style

Submission
Online

Submission Instructions
Upload as a single PDF document to the link provided on unit Moodle site before the closing time of the test.

Learning Outcomes Assessed
  • Model discrete-time systems from continuous-time systems using methods such as zero-order hold (ZoH), bilinear transform and state-space discretisation
  • Understand key concepts on linear time invariant (LTI) systems and the application of Z-transform
  • Analyse the stability and performance of digital control systems using Z-domain techniques such as Jury’s Criterion, Root Locus, Bode plots, and Nyquist plots

2 Laboratory/Practical

Assessment Title
Laboratory Assessment (30%)

Task Description

This laboratory assessment will assess you on the learning outcomes 1, 2, 4 and 6. It is an individual activity.

Residential Schools (laboratories) will be conducted physically (face to face) on two different days at ROK and MEL campuses (subjected to availability of enrolled students at each campus).

The planned days for Residential Schools are as follows:

  • Rockhampton North campus on 29th April (Wednesday) 2026 from 9AM to 5PM
  • Melbourne campus on 1st May (Friday) 2026 from 9AM to 5PM

See the CQUniversity handbook and Moodle site for the schedule and location information. Information about the format of the laboratory report is provided on unit Moodle site.

AI ASSESSMENT SCALE - AI COLLABORATION
You may use AI to assist with specific tasks such as drafting text, refining and evaluating your work. You must critically evaluate and modify any AI-generated content you use.

This assessment is exempted from the 72-hour submission grace period and must be completed by the stated submission date/time.


Assessment Due Date

Week 10 Thursday (21 May 2026) 11:45 pm AEST


Return Date to Students

Weighting
30%

Minimum mark or grade
40%

Assessment Criteria

Marking of the report will be done according to the following criteria:

  • The accuracy and relevance of information
  • Application of knowledge
  • Language and grammar used in answering questions
  • Proper referencing of sources of information
  • Inclusion of all relevant Equations, images, data and tables, and the quality of presentation and layout
  • The marking scheme will be published on unit Moodle site together with Laboratory instruction sheets


Referencing Style

Submission
Online

Submission Instructions
Upload as a single PDF document to the link provided on unit Moodle site before the deadline.

Learning Outcomes Assessed
  • Model discrete-time systems from continuous-time systems using methods such as zero-order hold (ZoH), bilinear transform and state-space discretisation
  • Understand key concepts on linear time invariant (LTI) systems and the application of Z-transform
  • Design digital controllers using techniques such as Proportional (P), Proportional-Integral (PI), Proportional-Derivative (PD), and PID type controllers
  • Document and communicate professional engineering information, including computer-based simulations.

3 In-class Test(s)

Assessment Title
In-class test 2 (40%)

Task Description

This written assessment will assess you on the learning outcomes 3, 4 and 5. It will be held as an Open Book, individual written assessment. It will be held on campus during the Vacation/Exam Week (Week 14). The duration of the test will be 3 hours. The test will consist of five or six problems. For some of the problems, you will require access to a computer with Matlab during the test. Handwritten solutions on A4 sheets must be uploaded to Moodle as a single PDF file at the end of the test. Any Matlab generated results should also be attached to your submission.

AI ASSESSMENT SCALE - NO AI
You must not use AI at any point during the assessment. You must demonstrate your core skills and knowledge.

This assessment is exempted from the 72-hour submission grace period and must be completed by the stated submission date/time.


Assessment Due Date

Vacation/Exam Week Monday (15 June 2026) 11:45 pm AEST

The exact date and time will be notified to you closer to the date.


Return Date to Students

We endeavour to return the graded answer scripts through Moodle within two weeks from the closing date of the assessment or the submission date (whichever occurs later).


Weighting
40%

Minimum mark or grade
50%

Assessment Criteria

Each question in the In-class test 2 will be assessed separately for the criterion accuracy and correct results and given a mark from zero to 100 marks. Marks will be awarded based on the accuracy and correct results, including:

  • Correct application of mathematics
  • Answers clearly identified
  • Correct results

In addition, the assignment as a whole will be assessed against the following criteria:

  • Evidence of correct procedures
  • All necessary steps in analysis are present in correct order
  • Clear presentation of mathematical workings linking given details of the problem to the results obtained
  • Evidence of checking results (mathematical, graphical, logic-common sense)
  • Evidence of understanding of the topic
  • Explanation of choices made in the analysis (why is the particular procedure required?)
  • Interpretation of results, e.g., limitations, direction of vectors
  • Professional presentation
  • The work (job) is clearly identified (problem, date, analyst)
  • Clear statement of each problem and its details and requirements
  • Logical layout of analysis
  • Appropriate use of diagrams
  • Correct use of terminology, conventions
  • Clear, concise use of English in the presentation
  • Referencing as appropriate
  • Part marks may be awarded for the correct procedure even if your final answer is incorrect.


Referencing Style

Submission
Online

Submission Instructions
Upload as a single PDF document to the link provided on unit Moodle site before the closing time of the test.

Learning Outcomes Assessed
  • Analyse the stability and performance of digital control systems using Z-domain techniques such as Jury’s Criterion, Root Locus, Bode plots, and Nyquist plots
  • Design digital controllers using techniques such as Proportional (P), Proportional-Integral (PI), Proportional-Derivative (PD), and PID type controllers
  • Design digital controllers using pole placement filters, linear quadratic gaussian (LQG) filters and state space techniques

Academic Integrity Statement

As a CQUniversity student you are expected to act honestly in all aspects of your academic work.

Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.

When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.

Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.

As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.

What is a breach of academic integrity?

A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.

Why is academic integrity important?

A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.

Where can I get assistance?

For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.

What can you do to act with integrity?