Nonlinear System Identification and Analysis in the Time, Frequency, and Spatio-Temporal Domains

Objective

Recent advances in biology, neuro-imaging, the observation of space by satellites, and many other disciplines has lead to an explosion of data and it is now absolutely imperative that a theoretical framework is developed that can be used to analyse this data to identify system dynamic behaviours in a transparent manner to reveal core dynamic behaviours and features. Complex nonlinear behaviours are ubiquitous in the life sciences, neuro-imaging and many other domains but the problems that these challenges raise are also fundamental in many other disciplines and problem domains. The study of complex systems that evolve as a function of time has received enormous attention over the last century and many important results have been established. While there is still much work to do to fully understand this class of systems recent results demonstrate that there is now a unique opportunity to significantly enhance and extend this purely temporal focus both to include nonlinear frequency domain analysis, and to derive results for the important class of spatio-temporal complex systems. The main aim of this proposal is to develop methods for the identification and analysis of the class of severely nonlinear systems, to develop complimentary nonlinear frequency domain identification and analysis methods, and to study the large class of systems that are defined by both spatial and temporal dynamics. In each case the aim is to develop core generic systems approaches that allow the construction of transparent models from recorded data sets that can be related back and analysed in terms of the components of the underlying system. Exemplars will be used throughout as case studies; these will include modelling the magnetosphere, stem cell dynamics, understanding the visual processing in drosophila or fruit fly brain, modelling the link between the recorded fmri signals and neural activity in brain, and the modelling of chemical systems and crystal growth far from equilibrium.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

• engineering and technology materials engineering crystals
• engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
• agricultural sciences agriculture, forestry, and fisheries agriculture horticulture fruit growing
• medical and health sciences medical biotechnology cells technologies stem cells

Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

• Identification
• System

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

• FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

• ERC-AG-PE7 - ERC Advanced Grant - Systems and communication engineering

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

ERC-2008-AdG
See other projects for this call

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

ERC-AG - ERC Advanced Grant

Host institution

Beneficiaries (1)