DYSCO I - Dynamical systems, control and optimization
From 01-01-2007 to 31-03-2012
Website: http://www.inma.ucl.ac.be/DYSCO/
Description
The proposed network is a continuation of an existing IAP network (IAP V/22) which has taken as objective to structure and coordinate the research and the graduate training in « systems and control » (in a very broad sense) in Belgium. In the new network, we shall therefore continue to pursue a double objective:• produce research results that are at the forefront of international research in our areas of excellence within the discipline of “systems and control”
• provide the best possible environment for the training of our PhD students and post-docs.
One of the features of the “systems and control” discipline is that it is an interdisciplinary research area with some specific features and methodologies of its own. The systems approach and the ever-present notion of feedback are two such features. Over the last decade, the progress accomplished by the “systems and control” community in solving many of the core problems of systems and control theory (nonlinear dynamics, modelling, identification, model-predictive control, robust control, optimal control, etc) has led to a spectacular expansion of the tools of our discipline into an ever growing number of other disciplines: environmental systems, communication systems, robotics, networks, graph theory, computer science, biological and bio-chemical systems, biomedical engineering, etc. Each of these fields comes with its own models and hence its own theoretical problems, towards the solution of which systems and control can provide important contributions. In fact, systems and control has become nowadays the single unifying discipline that allows engineers and other scientists to understand the application fields we have mentioned in terms of dynamical systems. However, to achieve significant results in any one of these disciplines requires an in-depth study of their specific models and methods and extensive interactions with the experts of these fields.
The size of our network (about 200 researchers in IAP V/22, about 220 in the proposed network), the presence of several of the leaders of our field including a strong team of internationally renowned experts in applied mathematics, and our specific ways of collaboration allow us to make significant contributions not only in our core discipline of systems and control (including modelling, identification, computation and optimization) but also in several of these neighbouring disciplines in which we have created a critical mass of competent researchers (biological and bio-chemical systems, networks and graphs, traffic systems, biomedical systems, etc).
We plan to use the collaborative tools of our network, and the distinguishing presence in our network of top level applied mathematicians (a feature noted by the evaluation panel) to
- pursue fundamental research in the core disciplines of systems and control in which we have leading expertise: optimization, numerical solutions of systems and control problems, modelling and identification, networks of nonlinear systems, distributed parameter systems.
- create or develop critical mass of collaborative experts in several disciplines in which systems and control tools can provide significant contributions: chemical and bio-chemical systems, networks and graphs, traffic and transportation problems, motion and coordination problems, biological systems, biomedical engineering.
On the training side, we plan to continue and strengthen the mechanisms for scientific collaboration and for postgraduate training that we have successfully developed in the previous IAP phases: graduate school in systems and control (which we started in 1991, well before the creation of other graduate schools in Belgium), regular study days, specialized workshops, co-supervision of PhD students by members from different teams, invitation of high level international visitors, focused research groups across teams. The basic goal here is to create a most exciting scientific environment for our PhD students and post-docs.
Team
- Bart De Moor, Co-promoter
- Johan Suykens, Co-promoter
- Sabine Van Huffel, Co-promoter
- Joos Vandewalle, Promoter
Financing
Funding: BELSPO - BELSPO
Program/Grant Type: IUAP - Interuniversity Attraction Poles Programme
Events
2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery
3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery
12/09/2024:
Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers
News
STADIUS Alumni Herman Verrelst – new CEO of Biocartis
08 June 2017
Herman Verrelst, the founder of KU Leuven spin-off Cartagenia, who has been working in Silicon Valley, US for the last few years will be returning to Belgium to follow the steps of Rudi Pauwels as CEO of the Belgian diagnostic company, Biocartis.
Supporting healthcare policymaking via machine learning – batteries included!
29 May 2017
STADIUS takes the lead in the data analytics efforts in an ambitious European Project MIDAS.
Marc Claesen gives an interview about his PhD for the magazine of the Faculty of Engineering Sciences "Geniaal"
10 February 2017
Did you know that in Belgium approximately one third of type 2 diabetes patients are unaware of their condition?
Joos Vandewalle is nieuwe voorzitter KVAB
09 October 2016
Op 5 oktober 2016 heeft de Algemene Vergadering van de Academie KVAB Joos Vandewalle verkozen tot voorzitter van de KVAB.