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Industrial Systems and Control
Optimisation and System Identification University of Strathclyde, Glasgow, UK 13-15 November 2007 |
NOTE: This meeting has since been held.We will be holding this event again - please contact us for details
Event Description Summary:
This three day training course introduces two closely related topics of Optimisation and System Identification. The Optimisation is extremely important subject used across all the Engineering fields. For control engineering applications it is widely used for optimal control and parameter identification/estimation. The system identification is probably the most important and difficult step required for a successful modern control design. The Course is aimed at engineers who are involved in system modeling and model based control/simulation. All presented topics will be supported by practical engineering examples and will arm trainees with efficient approach to tackle real-life problems. Lectures and Hands-On sessions will provide a methodology and step-by-step guide of using all presented algorithms in their engineering practice.
Day 1 – Optimisation
Agenda
| 08.45 | REGISTRATION | ||
| 09.00 | Static optimization methods: Unconstrained optimization | ||
| 09.45 | Static optimization methods: Constrained optimization | ||
| 10.45 | TEA / COFFEE | ||
| 11.00 | Hands-on: static optimization methods | ||
| 12.30 | LUNCH | ||
| 13.30 | Dynamic Optimization methods | ||
| 14.30 | Hands-On: Dynamic Optimization methods | ||
| 15.30 | TEA / COFFEE | ||
| 15.54 | Genetic and Search algorithms | ||
| 16.30 | Hands-On: Genetic/Search algorithms | ||
| 17.00 | CLOSE |
Day 2 – Linear Systems Identification
Agenda
| 09.00 | System Identification for Linear Systems | ||
| 10.45 | TEA / COFFEE | ||
| 11.00 | Hands-on: System ID with Least Squares algorithm | ||
| 11.45 | Hands-on: System ID with a Kalman Filter to estimate an offset | ||
| 12.30 | LUNCH | ||
| 13.15 | System Identification Implementation Issues and Model Validation | ||
| 14.30 | Hands-on: Estimation of Parameters in Physics-based models | ||
| 15.45 | TEA / COFFEE | ||
| 16.00 | Self-Tuning Control | ||
| 17.00 | CLOSE |
Day 3 – Non-Linear System Identification
Agenda
| 09.00 | Grey-Box models - Physical system structure with Black-Box elements | ||
| 10.00 | Parameter estimation for Grey-Box models | ||
| 11.00 | TEA / COFFEE | ||
| 11.15 | Hands-On session on Grey-Box model identification | ||
| 12.30 | LUNCH | ||
| 13.15 | Non-linear system modeling through multiple linear models | ||
| 14.15 | Hands-On session on Multiple-Model approach | ||
| 15.15 | TEA / COFFEE | ||
| 15.30 | Neural Networks as universal approximators: static and dynamic models | ||
| 16.30 | Demonstration of the Neural-Network model identification procedure | ||
| 17.00 | CLOSE |
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