Overview

This topic will cover the modelling and control of dynamic systems utilising state-space representations. Moving beyond ingle input single output (SISO) controllers, such as proportional-integral derivative (PID) and lead-lag, it will cover both the theoretical and practical implementations of multi-input multi-output (MIMO) control systems with nested single-input single-output (SISO) and … For more content click the Read More button below.

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Tuition pattern

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Aims

This topic aims to provide 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.

Learning outcomes

On completion of this topic you will be 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 modelling, analysis and control of systems
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.
Incorporate and compensate for real-world practical aspects in relation to the operation of modern control systems and the associated design issues
7.
Design modern control systems 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

Assessments

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Requisites information

Pre-requisites:
Anti-requisites:

Assumed knowledge

Linear Algebra, Calculus, Laplace Transform, Bode Plots, z-Transform, Vector-Matrix Analysis, Signals and Systems, Conventional Control Systems such as can be obtained in ENGR2711 Engineering Mathematics and ENGR2722 Analysis of Engineering Systems OR MATH2711 Several Variable Calculus and MATH2702 Linear Algebra and Differential Equations.