Skip to Main Content
Catalogue Link
<a href="/ords/r/curriculum/catalogue/home" class="t-Header-logo-link"><span class="apex-logo-text">Handbook</span></a>
Hidden Page Items
New
8
New
HE Unit Template
New
Advanced Control Systems Engineering
New
ENGIN5405 - Advanced Control Systems Engineering
New
20240200
New
New
New
New
Course
New
Unit
New
New
1.2
New
New
2026-09-10
New
2026-09-10
New
Engineering
New
New
New
New
Institute of Innovation, Science & Sustainability
New
Engineering
New
Postgraduate - Coursework
New
15
New
New
.125
New
030101
New
Manufacturing Engineering
New
030101 - Manufacturing Engineering
New
<a href="http://www.federation.edu.au/locate/unit/engin5405">View unit fees</a>
New
Graded (e.g. HD, D, C, etc)
New
9
New
Masters Degree
New
New
New
New
New
1
New
New
New
New
New
false
New
New
New
<p>This is a capstone unit enhancing students knowledge and skills in the advanced topics of control system engineering. Through this unit students will appraise their understanding of the applications and importance of control system in mechatronic applications. Students will be able to interpret, analyse and exemplify different areas of automated control systems, digital control systems, predictive control systems and real time realisation using suitable control system software. Integrating this unit with the knowledge and understanding obtained in previous units, students will be able to distinguish between the principles of different control systems and will be able to apply them in developing and designing appropriate engineering processes. The theoretical knowledge will be complemented with projects and laboratory exercises. The activities will allow students to enhance their skills in designing software based models for controlling mechatronic systems. The students will also learn to appreciate applications of the developed knowledge and skills in industrial environment.</p>
New
New
<p>•Review of control system engineering including stability and steady state errors.<br>
•Design via root locus, frequency response and state response.<br>
•Introduction to the advanced principles of digital control system.<br>
•Digital control system stability; the z-transform and stability analysis in z-domain.<br>
•Overview of tustin transform, w-transform and higher harmonic control.<br>
•Discrete system design and analysis.<br>
•Predictive control system: modelling and principles.<br>
•Optimal control: principles, designing and modelling.<br>
•Stochastic optimal control and nonlinear optimisation.<br>
•Advanced applications of calculus of variations to optimal control.<br>
•Computer / microprocessor based control, adaptive control and fuzzy logic control systems.<br>
•Multivariable controllers based on fuzzy logic and neural network methods.<br>
•Designing, modelling and real time realisation of different control systems using control software.</p>
New
true
New
<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
New
true
Hidden Page Items
Semester
Semester
0200
Year
Year
2027
Current Year
2026
Breadcrumb Positioning
Handbook
ENGIN5405 - Advanced Control Systems Engineering
Pseudo Breadcrumb
ENGIN5405 - Advanced Control Systems Engineering
Breadcrumb Type
Unit
Catalogue Term and Year
Version Text
You are viewing a version for
Semester
Semester 1
Semester 2
Summer Semester
Year
2027
2026
Download PDF
RDS Holder
Overview
Key information
Requisites
Learning outcomes
Assessment
FedTASK
Parent Region
Overview
Unit description
<p>This is a capstone unit enhancing students knowledge and skills in the advanced topics of control system engineering. Through this unit students will appraise their understanding of the applications and importance of control system in mechatronic applications. Students will be able to interpret, analyse and exemplify different areas of automated control systems, digital control systems, predictive control systems and real time realisation using suitable control system software. Integrating this unit with the knowledge and understanding obtained in previous units, students will be able to distinguish between the principles of different control systems and will be able to apply them in developing and designing appropriate engineering processes. The theoretical knowledge will be complemented with projects and laboratory exercises. The activities will allow students to enhance their skills in designing software based models for controlling mechatronic systems. The students will also learn to appreciate applications of the developed knowledge and skills in industrial environment.</p>
Unit content
<p>•Review of control system engineering including stability and steady state errors.<br> •Design via root locus, frequency response and state response.<br> •Introduction to the advanced principles of digital control system.<br> •Digital control system stability; the z-transform and stability analysis in z-domain.<br> •Overview of tustin transform, w-transform and higher harmonic control.<br> •Discrete system design and analysis.<br> •Predictive control system: modelling and principles.<br> •Optimal control: principles, designing and modelling.<br> •Stochastic optimal control and nonlinear optimisation.<br> •Advanced applications of calculus of variations to optimal control.<br> •Computer / microprocessor based control, adaptive control and fuzzy logic control systems.<br> •Multivariable controllers based on fuzzy logic and neural network methods.<br> •Designing, modelling and real time realisation of different control systems using control software.</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Engineering
Study level:
Postgraduate - Coursework
Credit points:
15
EFTSL:
0.125
Field of education:
030101 - Manufacturing Engineering
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/engin5405">View unit fees</a>
Requisites
Prerequisite
None
Corequisite
None
Exclusion
<p>must not have completed "ENMTX4020"</p>
Learning outcomes
Learning outcomes
<p>On successful completion of this unit, students are expected to gain the following [K]nowledge, [S]kills and [A]pplication of knowledge & skills</p>
Learning Outcomes
Ref
Outcome
K1
<p>Demonstrate advanced understanding of the theory and applications of control systems and controllers.</p>
K2
<p>Analyse and interpret principles of digital control system.</p>
K3
<p>Demonstrate understanding of performing stability analysis of control systems.</p>
K4
<p>Explain and appraise different transformation techniques and methodologies.</p>
K5
<p>Demonstrate understanding of different control systems design.</p>
S1
<p>Design, evaluate and critically analyse different control systems for stability and performance to ensure relevant criteria are met.</p>
S2
<p>Transform and evaluate different control systems.</p>
S3
<p>Design, analyse and perform real time realisation of different control systems using control software.</p>
A1
<p>Apply mathematical and theoretical knowledge to design and model an effective control system for a practical engineering process.</p>
A2
<p>Design and apply a suitable automatic control system in order to automate an industrial engineering process.</p>
Assessment
Learning Tasks and Assessment
Ref
Learning task
Assessment type
Weighting
Learning outcomes assessed
1
<p>Experimental work and / or projects to verify students ability to apply knowledge and skills acquired in the unit.</p>
<p>Reports, demonstrations</p>
<p>10-30%</p>
S1, S2, S3, A1, A2
2
<p>Relevant tasks and problems to enforce understanding of the students and help in gradual development of knowledge and skills throughout the unit.</p>
<p>Assignments, quizzes</p>
<p>10-30%</p>
K1, K2, K3, K4, K5, S1, S2, S3
3
<p>Questions and problems related to the unit contents.</p>
<p>Exams / Tests</p>
<p>40-60%</p>
K1, K2, K3, K4, K5
Supplementary assessment available:
Yes
Supplementary assessment information:
<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
FedTASK
FedTASK
<p>Federation University recognises that students require key transferable employability skills to prepare them for their future workplace and society. FedTASKs (<strong>T</strong>ransferable <strong>A</strong>ttributes <strong>S</strong>kills and <strong>K</strong>nowledge) provide a targeted focus on five key, transferable Attributes, Skills, and Knowledge that are embedded within curriculum, developed gradually towards successful measures and interlinked with cross-discipline and co-operative learning opportunities.</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Engineering
Study level:
Postgraduate - Coursework
Credit points:
15
EFTSL:
0.125
Field of education:
030101 - Manufacturing Engineering
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/engin5405">View unit fees</a>
Additional information
Cards Section - Non Research
Add Info Static Text
Internal reference: ENGIN5405 - U1.2