Spatio-Temporal Systems Estimation, Modelling and Analysis

Lead Research Organisation: University of Sheffield
Department Name: Automatic Control and Systems Eng


Systems where the dynamics at any point depends upon the dynamics back in time and the dynamics at neighbouring spatial locations are ubiquitous. These space-time or spatio-temporal systems represent an enormous class of highly complex dynamical systems that have been largely ignored in studies to date. It is the spatial interactions over a neighbourhood of influence that together with the temporal dynamics combine to produce evolving patterns of complex interacting behaviours. Real life examples of spatio-temporal systems are easy to find and range from neuro-imaging applications to stem cells and reaction diffusion systems. The main objective of this research study will be to derive generic systems identification and parameter estimation based procedures to identify models of these complex systems, to develop model validation methods for this model class, to investigate characterisation based on invariant dynamic measures, and to apply the results to a range of both simulated and real spatio-temporal systems.
Description Developed new theories, methods and algorithms to analyze, model, simulate and control complex spatio-temporal systems
Exploitation Route Applications range from modelling crystal growth, to space weather forecasting and flow control
Sectors Agriculture

Food and Drink


Communities and Social Services/Policy



Description By medics in treating epilepsy and deep brain stimulation. Space weather forecasting models - Real time forecast of the >800 keV electron flux at geosynchronous orbit
First Year Of Impact 2015
Sector Chemicals,Environment,Healthcare,Pharmaceuticals and Medical Biotechnology
Impact Types Societal

Description Program Grant
Amount $900,000 (USD)
Funding ID RGP0001/2012 
Organisation Human Frontier Science Program (HFSP) 
Sector Charity/Non Profit
Country France
Start 05/2012 
End 06/2015