System Identification and Information Processing for Complex Systems
Lead Research Organisation:
University of Sheffield
Department Name: Automatic Control and Systems Eng
Abstract
The main aim of this Platform Grant proposal is to build upon the expertise of the Sheffield team in signal processing and system identification for nonlinear and complex systems to develop new research themes and application areas. The applicants developed the narmax methodology, a theory for nonlinear systems in the frequency domain, and a class of algorithms for the identification and analysis of spatio-temporal systems. Recent developments at Sheffield mean we are now in a unique position to develop new multi-disciplinary research themes to exploit and build upon this expertise. The new multi-disciplinary research directions that we plan to develop as part of this research proposal include studies of drosophila brain, stem cell dynamics, diffuse optical tomography of brain, space weather systems, and crystal growth phenomena. Each of these offers unique challenges in signal processing and system identification and each requires scoping or feasibility studies to establish the potential to develop each new research area into a core research proposal. The core theme of this Platform Grant proposal is therefore to provide funding to conduct initial scoping research studies into each of these new multi-disciplinary projects with the objective that this will allow the development of each theme to the point where a responsive mode application can be submitted to take the research forward.Career development for members of our group including RA's is a core part of our strategy. The Platform Grant will provide stability for the collaboration by our research team with other disciplines, and should provide a critical mass of researchers and a longer term stable environment around which the career development of outstanding young researchers can be nurtured. The Platform Grant will enable the group to maintain the momentum that has been generated by the formation of two new research centres, and to build upon and exploit the multi-disciplinary partnerships that have been developed to date. The opportunity to take risks, try out completely new approaches, and completely new application fields produces an excitement in the research, enhances moral and longer term strategic research planning and development, allows flexibility, creates opportunities, and provides support for everyone in our group.
Publications
Akanyeti O
(2010)
An application of Lyapunov stability analysis to improve the performance of NARMAX models
in Robotics and Autonomous Systems
Akanyeti, O
(2011)
Studying robot environment interaction via transparent controllers
Allison TF
(2018)
Identification and Single-Cell Functional Characterization of an Endodermally Biased Pluripotent Substate in Human Embryonic Stem Cells.
in Stem cell reports
Aram P
(2015)
Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation.
in IEEE transactions on neural networks and learning systems
Aram P
(2015)
Model-based estimation of intra-cortical connectivity using electrophysiological data.
in NeuroImage
Aram P
(2015)
An efficient TOF-SIMS image analysis with spatial correlation and alternating non-negativity-constrained least squares.
in Bioinformatics (Oxford, England)
Aram P
(2013)
Use of kernel-based Bayesian models to predict late osteolysis after hip replacement.
in Journal of the Royal Society, Interface
Aram P
(2013)
Spatiotemporal multi-resolution approximation of the Amari type neural field model.
in NeuroImage
Ayala Solares J
(2017)
A novel logistic-NARX model as a classifier for dynamic binary classification
in Neural Computing and Applications
Balikhin M
(2010)
Data based quest for solar wind-magnetosphere coupling function COUPLING
in Geophysical Research Letters
| Description | New ways to model and analyse complex nonlinear dynamic systems. |
| Exploitation Route | They are generic system theory results and so can be used by others and applied in many different fields. |
| Sectors | Aerospace, Defence and Marine,Agriculture, Food and Drink,Environment,Healthcare,Pharmaceuticals and Medical Biotechnology |
| Description | The results from this research have been used in very wide range of multidisciplinary applications including space weather, econometrics, Drosophila visual system, stem cells, EEG and Alzheimer's diagnosis, Greenland icebergs, neuroimaging and many other fields. |
| First Year Of Impact | 2011 |
| Sector | Aerospace, Defence and Marine,Agriculture, Food and Drink,Chemicals,Communities and Social Services/Policy,Environment,Financial Services, and Management Consultancy,Healthcare,Pharmaceuticals and Medical Biotechnology |
| Impact Types | Societal |