Evolutionary differential equations model the time evolution of complex systems in fields ranging from ecology and epidemiology to materials science and economics. When coupled with control theory, ...

Uncertainty modelling provides a rigorous framework for representing imprecise or indeterminate information in dynamical systems, distinguishing itself from classical probabilistic approaches by ...

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

Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...