System Identification and Experimental Design

From the Manchester Bio-Modelling Network

The BioModelling Network organised its fourth Lecture on System Identification and Experimental Design by Dr Martin Brown, who is a Senior Lecturer in the School of Electrical and Electronic Engineering. The event took place on Tuesday the 1st of May at 14:00, in MIB (Lecture Theatre).

System Identification and Experimental Design - How to best use your data
This lecture will provide an introduction to the related topics of system identification and experimental design from a systems biology viewpoint. System identification draws on techniques from optimisation, statistics and control in an attempt to build dynamic models from exemplar data. This talk will review the dynamic modelling framework, specifying optimality criteria, estimating parameters and also performing model selection. A particular focus will be on the statistical interpretation, as this is a key element in experimental design. Experimental design also uses ideas from optimisation and statistics to optimise the structure of the experimental programme in order to maximise the amount of information gained. This talk will review how the design problem is structured, what type of questions can be answered, how the questions are formulated as an optimisation problem and how these problems are solved. Small, but realistic, examples will be used throughout the talk.

The slides of the presentation can be downloaded from here.