Available in 2022
Course code



10 units


6000 level

Course handbook


This course provides details of modelling and control of engineering systems. It presents tools that are fundamental for the analysis and design of such systems. The tools presented in the course use energy as a key element to develop modelling skills that can transcend physical domains and engineering specialisations. In addition, the course provides students with an understanding of the principle of feedback along with an introduction to classical control design techniques. Topics include fundamental limitations, stability of closed loop systems, control design for time domain and frequency domain specifications.

Availability2022 Course Timetables


  • Semester 2 - 2022

Learning outcomes

On successful completion of the course students will be able to:

1. Formulate mathematical models of basic engineering systems with components from different physical domains (mechanical, electrical, hydraulic)

2. Build computational models based on block diagrams and state-space equations

3. Perform numerical simulations of time-domain response of dynamic systems

4. Relate the time response of linear time-invariant systems to model structure and parameters

5. Relate the frequency response of linear systems to transfer functions and system time response to sinusoidal excitation

6. Analyse stability of equilibrium points of nonlinear systems via linearisation

7. Apply feedback control techniques and demonstrate how feedback can be used to control the response of a system in a desired manner, and recognize the limit of performance

8. Apply feedback control techniques and demonstrate how different controller attributes influence the performance of a feedback control system

9. Design feedback controllers for typical response specifications in time as well as frequency domain


This course will cover:

1. Introduction to engineering systems

2. Energy-based modelling of engineering systems in different physical domains

3. From energy-based to computational models for computer simulation

4. Analysis of linear systems using transforms including a review of Laplace transforms

5. Transfer functions and block diagrams

6. Role of feedback and fundamental limits on the response achievable with feedback, sensitivity and complementary sensitivity functions

7. Stability of closed loop systems, root locus

8. Time domain response specifications, P, PI, PID controller, Anti-integral windup

9. Frequency domain analysis, Bode, Nyquist, Stability Margins

10. Compensator design for frequency domain specifications


If you have successfully completed ENGG2440 or MCHA2000, you cannot enrol in this course.

Assumed knowledge

Mathematics including calculus, differential equations, linear algebra, complex numbers, polar coordinates, exponential, logarithmic, and hyperbolic and trigonometric functions, linear equations and matrices

Physics including mechanics and kinematics, foundations of electricity

Assessment items

Quiz: Weekly Quizzes

Tutorial / Laboratory Exercises: Laboratory Assignments

Quiz: Mid-term and final quizzes

Contact hours



Online 2 hour(s) per Week for Full Term starting in week 1


Face to Face On Campus 2 hour(s) per Week for Full Term starting in week 2

The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.