This Collection is focused on hybrid biological models, bioinformatics, and epidemiological models. It maximizes reader understanding of control, optimization, and applications of complex biological ...

Researchers at the University of Toronto have made a significant step towards enabling reliable predictions of complex dynamical systems when there are many uncertainties in the available data or ...

Medicine makers need to get better at math. Improved mathematical modeling would accelerate the move toward automated processes, cut production times, and reduce costs. Researchers Francesco Destro, ...

The Mathematical and Computational Biology research group (MCB) is constantly striving to advance the development of mathematical and computational modelling of biological systems. Our aim is to ...

We have considerable expertise in MPC as a powerful tool for providing optimal control in dynamic environments, ensuring real-time performance and adaptability. Our work includes developing predictive ...

The Mathematical and Computational Biology research group (MCB) is constantly striving to advance the development of mathematical and computational modelling of biological systems. Our aim is to ...

The department Aeroelastic Control Systems researches novel functions and algorithms, as well as new underlying methods for control design and verification. Examples include functions to reduce gusts ...

Electronic components are chosen based on factors such as their function. It is important to choose a component that is best fit for purpose. Electronic control systems – electronic quantities Current ...