System Identification and Model Validation for Spatio-Temporal Dynamical Systems
Lead Research Organisation:
University of Sheffield
Department Name: Automatic Control and Systems Eng
Abstract
Spatio-temporal systems are systems that evolve over both space and time. Until recently the lack of tools for analysing spatio-temporal systems has not been a limitation since most experiments produced purely temporal information in the form of measurements at a specific location or site. But there are many important systems where space and time are essential for explaining the observed phenomena. The main objective of this research study will be to investigate the identification of models of spatio-temporal systems where the cell entries can be either continuous or binary variables and to study the validation and other properties of this important class of nonlinear systems.
Organisations
Publications
![publication icon](/resources/img/placeholder-60x60.png)
Krishnanathan K
(2015)
Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation
in International Journal of Systems Science
![publication icon](/resources/img/placeholder-60x60.png)
Sarrigiannis PG
(2015)
Direct Functional Connectivity between the Thalamus (Vim) and the Contralateral Motor Cortex: Just a Single Case Observation or a Common Pathway in the Human Brain?
in Brain stimulation
![publication icon](/resources/img/placeholder-60x60.png)
Li Y
(2015)
Identification of nonlinear time-varying systems using an online sliding-window and common model structure selection (CMSS) approach with applications to EEG
in International Journal of Systems Science
![publication icon](/resources/img/placeholder-60x60.png)
Boynton R
(2015)
Online NARMAX model for electron fluxes at GEO
in Annales Geophysicae
![publication icon](/resources/img/placeholder-60x60.png)
Billings S
(2015)
Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression Algorithm
in International Journal of Modelling, Identification and Control
![publication icon](/resources/img/placeholder-60x60.png)
Zhang B
(2015)
Identification of continuous-time nonlinear systems: The nonlinear difference equation with moving average noise (NDEMA) framework
in Mechanical Systems and Signal Processing
![publication icon](/resources/img/placeholder-60x60.png)
Zhao Y
(2016)
Inferring the variation of climatic and glaciological contributions to West Greenland iceberg discharge in the twentieth century
in Cold Regions Science and Technology
![publication icon](/resources/img/placeholder-60x60.png)
Balikhin MA
(2016)
Comparative analysis of NOAA REFM and SNB3GEO tools for the forecast of the fluxes of high-energy electrons at GEO.
in Space weather : the international journal of research & applications
![publication icon](/resources/img/placeholder-60x60.png)
He F
(2016)
Nonlinear interactions in the thalamocortical loop in essential tremor: A model-based frequency domain analysis.
in Neuroscience
![publication icon](/resources/img/placeholder-60x60.png)
Friederich U
(2016)
Fly Photoreceptors Encode Phase Congruency.
in PloS one