About the project
This project is focused on how can control systems effectively manage unpredictable nonlinear dynamics in continuous-time systems using real-time sensor data. The main theoretical tool is orthonormal bases of function spaces. This is a project within the Doctoral Centre for Advanced Electrical Power Engineering.
You will contribute to theoretical and practical advances in data-driven control and power electronics. You will be participating in setting up a robust data-driven mathematical framework to model continuous-time nonlinear systems from data, using Chebyshev polynomials, port-Hamiltonian and energy-based methods. This part of the project has a strong mathematical content and the expectation is that you have a solid foundation in mathematical techniques.
In the second stage of the project you will be developing computationally effective and numerically sound algorithms to deal with large data-sets and real-time operating constraints in the previously developed mathematical framework. It is expected that you are comfortable with the use of Matlab and similar prototyping tools, and that you are familiar with other programming languages, such as C. Finally, you will be involved with experimental validation of the results in the area of power electronics.