The section performs research within a broad range of areas within dynamical systems - including modelling, optimization, forecasting, and controlling in both deterministic and stochastic systems.
The mission of the Section for Dynamical Systems (DynSys) at DTU Compute is to conduct fundamental, advanced, strategic and applied research in the area of dynamical systems. This involves both deterministic and stochastic systems, discrete and continuous systems, deductive and inductive model building, forecasting and descriptions, as well as control and optimization.
Our core competences comprises time series analysis and return maps, stochastic and nonlinear systems of differential equations, including partial differential equations, adaptive and stochastic control theory and parameter estimation.
We do research in both deterministic and stochastic systems within a range of applications. The main themes are energy, smart cities, medicine, and biology.
The section runs a large number of national and international projects, and has a long tradition for intensive collaboration with industry and other research organizations.