Objective The objective with this proposal is to provide design tools and algorithms for model management in robust, adaptive and autonomous engineering systems. The increasing demands on reliable models for systems of ever greater complexity have pointed to several insufficiencies in today's techniques for model construction. The proposal addresses key areas where new ideas are required. Modeling a central issue in many scientific fields. System Identification is the term used in the Automatic Control Community for the area of building mathematical models of dynamical systems from observed input and output signals, but several other research communities work with the same problem under different names, such as (data-driven) learning.We have identified five specific themes where progress is both acutely needed and feasible:1. Encounters with Convex Programming Techniques: How to capitalize on the remarkable recent progress in convex and semidefinite programming to obtain efficient, robust and reliable algorithmic solutions.2. Fundamental Limitations: To develop and elucidate what are the limits of model accuracy, regardless of the modeling method. This can be seen as a theory rooted in the Cramer-Rao inequality in the spirit of invariance results and lower bounds characterizing, e.g. Information Theory.3. Experiment Design and Reinforcement Techniques: Study how well tailored and ``cheap'' experiments can extract essential information about isolated model properties. Also study how such methods may relate to general reinforcement techniques.4. Potentials of Non-parametric Models: How to incorporate and adjust techniques from adjacent research communities, e.g. concerning manifold learning and Gaussian Processes in machine learning.5. Managing Structural Constraints: To develop structure preserving identification methods for networked and decentralized systems.We have ideas how to approach each of these themes, and initial attempts are promising. Fields of science natural sciencesmathematicsapplied mathematicsdynamical systemsnatural sciencescomputer and information sciencesartificial intelligencemachine learningnatural sciencesmathematicsapplied mathematicsmathematical model Programme(s) 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) ERC-AG-PE7 - ERC Advanced Grant - Systems and communication engineering Call for proposal ERC-2010-AdG_20100224 See other projects for this call Funding Scheme ERC-AG - ERC Advanced Grant Host institution Linköping University EU contribution € 1 000 000,00 Address CAMPUS VALLA 581 83 Linköping Sweden See on map Activity type Higher or Secondary Education Establishments Administrative Contact Johan åkerman (Mr.) Principal investigator Lennart Ljung (Prof.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data Beneficiaries (2) Sort alphabetically Sort by EU Contribution Expand all Collapse all Linköping University Sweden EU contribution € 1 000 000,00 Address CAMPUS VALLA 581 83 Linköping See on map Activity type Higher or Secondary Education Establishments Administrative Contact Johan åkerman (Mr.) Principal investigator Lennart Ljung (Prof.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data KUNGLIGA TEKNISKA HOEGSKOLAN Sweden EU contribution € 1 500 000,00 Address BRINELLVAGEN 8 100 44 Stockholm See on map Region Östra Sverige Stockholm Stockholms län Activity type Higher or Secondary Education Establishments Administrative Contact Karin Karlsson Eklund (Ms.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data
