Robust and Complex Systems


Necmiye Ozay

University of Michigan
United States

This TC will provide a venue for the discussion of computational aspects of the analysis and design of systems, with particular emphasis on the fact that practitioners are now often faced with very large data sets (Big Data) that might be fragmented and/or subject to significant noise. To use such Big Data effectively for the analysis and design of systems, we need dedicated mathematical/computational tools.  The aim is not only to focus on traditional approaches used in control analysis/design but also to discuss how tools from other areas such as computer science or artificial intelligence can be used to solve such complex problems. A special emphasis will be placed on how to design resilient systems that are able to cope with model uncertainty, perturbations, attacks, and changes in the environment they operate in.