Signals and Control

Learning Outcomes

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• Classify real-world data into different types of signals
• Use fourier analysis to design a filter
• Model a real-world system as a transfer function

Subject Specific Practical Skills

Having successfully completed this module you will be able to:

• Implement signal processing using digital filters
• Use discrete PID controllers to control a real-world system

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• Use the laplace transform to demonstrate stability of a transfer function
• Analyse linear systems using time and frequency domain methods
• Identify the advantages and problems arising from processing signals in quantised time and space
• Explain the difference between open loop and closed loop control

Transferable and Generic Skills

Having successfully completed this module you will be able to:

• Identify the real-world implications of stability and controllability

Signals theory:

• Classification of signals
• Mathematical systems
• Linear systems
• Classical filters (intro)
• Fourier transform

Digital signals:

• Sampling (Nyquist) and ADCs.
• Signal encoding
• Discrete fourier methods

Control theory:

• Feedback and open- vs closed-loop
• Stability, controllability
• The laplace transform
• Importance of impulse responses

Controller design:

• Modelling real systems as transfer functions
• PID controllers
• Discrete-time controllers

• Lectures
• Guided self-study
• Laboratories in computing and specialist hardware

Summative

This is how we’ll formally assess what you have learned in this module.