Stochastic differential equations (SDEs) provide a mathematical framework for modelling dynamical systems influenced by random perturbations. At their core, SDEs extend classical ordinary differential ...

To capture the non-static and dynamical nature of microbial interactions, we employed a novel analytical framework known as empirical dynamic modeling (EDM) 14, specifically designed for analyzing ...

As with so much in mathematics, the proof started with coffee. In September 2019, Kathryn Mann of Cornell University visited Kingston, Ontario, to give a guest lecture at Queen’s University. Afterward ...

Intelligent control has become a cornerstone of modern robotics and autonomous systems, where agents must operate safely and reliably despite uncertainty in ...

This course covers differential equation derivation to model systems, solving these equations through Laplace transforms to determine transfer functions for simple mechanical, electrical, and ...

As renewable generation accelerates across Europe, electricity systems are undergoing a fundamental structural shift. The ...