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:

Dr Ozgur Akman Network modelling in biological systems
Professor Peter Ashwin Coupled dynamics, critical transitions, tipping points, applications
Professor Vadim N Biktashev Excitable systems, autowaves
Dr Marc Goodfellow Complex networks, intermittency
Dr Prathyush P Menon Control theory, aerospace guidance systems, space applications
Dr Jan Sieber Critical transitions, network dynamics
Professor John Terry Network models in biomedicine
Professor Krasimira Tsaneva-Atanasova Spatially extended dynamics, hybrid systems

Academic staff associated with the centre with research interests in this area include

For more information, contact Professor Krasimira Tsaneva-Atanasova or Professor Peter Ashwin.