Prof Brett Ninness
MOdelling and identification
Mathematical models are essential for describing complex systems across all fields of engineering and natural sciences. In general terms, a model is used to capture important system behaviour such as the response to changed environment and causal relationships between system components. The remarkable utility of mathematical system modelling stems from the fact that models:
- Enable prediction of system behaviour under new environmental scenarios;
- Remove the need for dangerous and/or prohibitively expensive experiments;
- Accelerate the analysis and design processes;
- Enable simulation of systems at greatly accelerated time-scales;
- Are fundamental to detecting faults or changes in the system;
- Are essential to the design and analysis of advanced feedback control and automation systems.
In this research area, members of the Autonomous Systems Research Centre are developing new theory and supporting algorithms to identify system models based on observed data.