MEng Electronic Engineering

BRIEF DESCRIPTION OF THE UNIT:

The unit has two different parts:

Part A. Digital Control

1.     Motivation for digital control theory, including computer-based control.

2.     Discrete representation of continuous systems: discrete transfer functions and an overview of state space descriptions

3.     Stability analysis.

4.     Control system design (including PID structure and others) in the discrete domain.

5.     Classical analysis in the discrete domain.

6.     Control design for mobile robots in the discrete domain.

Part B. System Identification

1.     Exemplar system identification problems

2.     Measurements and Statistics.

3.     Non-parametric Methods: Time and frequency domain.

4.     Least square problem Statistic foundation.

5.     Parametric methods (ARX, OE).

6.     Input design.

7.     Optimization: gradient method for OE.

8.     Recursive estimation.

9.     Validation.

• Show how discrete-time transfer functions can be used to model dynamic systems with sampling and modulation;
• Control systems analysis and synthesis in the discrete domain.
• Relations between discrete-time and continuous-time models;
• How system identification algorithms can be used to find models of dynamic systems.
• How least squares approaches can be used for parameter estimation.
• The influence of noise on the parameter estimation;
• The relevance of measurement theory for the identification process.

Theoretical knowledge is delivered over lectures and demonstrated over tutorial.