Complexity and control

For larger complex systems there are great challenges in finding the appropriate mathematical framework to understand and (if possible) control their behaviour. In addition to structural complexity and heterogeneity, many real world system questions require a range of mathematical and computational skills in order to find answers. Specific areas of active research in the centre include the following:

Control theory, Hybrid testing of biological and mechanical systems, Multiscale systems and computational modelling, Complex networks and emergent phenomena, Coupled and delayed dynamical systems, Applications to engineering, physical, earth and life sciences

Academic staff in mathematics with research interests in this area include:

Professor Peter Ashwin Coupled dynamics, critical transitions, tipping points, applications
Dr Chris Bick Network dynamics and control, symmetry
Professor Vadim N Biktashev Excitable systems, autowaves
Dr Jan Sieber Critical transitions, control-based continuation, delay