This module aims to introduce to the students advanced model based signal processing methods and systems design theories, with illustrative case studies to demonstrate how the knowledge obtained in this module can be used in some challenging real life applications.
The module uses the specialist computation/simulation tool Matlab.
Aims and Objectives
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Estimate system state information from noisy measurements
- Evaluate the performance of a stochastic system using Monte Carlo methods
- Estimate unknown system parameters from noisy measurement data
- Design and implement model based control systems
- Apply the model based signal processing and system design methods to real life applications
The course will cover the following topics:
Review of mathematical background
- Review of state space modelling
- Review of linear algebra
- Review of probability
Stochastic simulation and Monte Carlo method
- Random Number Generation
- Monte Carlo method
Stochastic simulation using Monte Carlo simulation
- Stochastic signal processing, focusing on
- Estimation problem and least squares
- Kalman filtering and Extended Kalman filtering
- Particle Filtering
Advanced system control theory
- Optimal Control: LQR and LQG
- Receding horizon methods
A case study: next generation health care – electrical stimulation and robotic-assisted upper-limb stroke rehabilitation.
Learning and Teaching
|Completion of assessment task||37|
|Wider reading or practice||29|
|Preparation for scheduled sessions||18|
|Total study time||150|
Resources & Reading list
James V. Candy (2005). Model-Based Signal Processing. Wiley-IEEE Press.
Dan Simon (2006). Optimal State Estimation: Kalman, H-infinity, and Nonlinear Approaches. John Wiley & Sons.
Graham C. Goodwin, Stefan F. Graebe and Mario E. Salgado (2001). Control System Design. Prentice Hall.
This is how we’ll formally assess what you have learned in this module.
This is how we’ll assess you if you don’t meet the criteria to pass this module.
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
Repeat type: Internal & External