1 x 1-hour lecture-2 once-only
5 x 2-hour lecture-1s per semester
1 x 1-hour workshop-2 once-only
6 x 2-hour workshop-1s per semester
1 x 3-hour practical weekly
1 of ENGR3711, ENGR8721, ENGR9721
Enrolment not permitted
ENGR4711 has been successfully completed
Assumed knowledge
Linear Algebra, Calculus, Laplace Transform, Bode Plots, z-Transform, Vector-Matrix Analysis, Signals and Systems, Conventional Control Systems such as can be found in ENGR2711 Engineering Mathematics and ENGR2722 Signals and Systems or MATH2711, MATH2702.
Demonstration, Project Plan, Reports
Topic description
System modelling using state-space equations. Formulation and design of analogous systems (digital twins). Theoretical and practical implementations of multi-input multi-output (MIMO) control systems with nested single-input single-output (SISO) and multi-input single-output (MISO) systems; including decoupling of MIMO systems. Design and implementation of discrete-time state feedback control systems. Systems engineering approach to the design of control systems.
Educational aims
This topic provides students with a comprehensive understanding of the principles of advanced control systems theory and technology as applied to the design and analysis of modern control systems.
Expected learning outcomes
At the completion of the topic, students are expected to be able to:

  1. Understand the fundamental principles in relation to modern control systems composition and development
  2. Acquire the knowledge and the mathematical tools for modern control systems modelling
  3. Apply advanced control theory for the analysis of modern control systems in both continuous-time domain and discrete-time domain
  4. Determine the characteristics of a modern control system and their effects on the system performance
  5. Explain a modern control system's stability, controllability, and observability
  6. Understand the practical aspects in relation to the operation of modern control systems and the associated design issues
  7. Design modern control systems in both continuous-time and discrete-time domains to meet particular specifications
  8. Use state-space concepts and methodologies for the design of a variety of state-feedback controllers and observers
  9. Apply industry-compatible design tools and techniques for the study of modern control systems