Fractional-order control extends classical control theory by employing derivatives and integrals of non-integer order to capture memory and hereditary effects intrinsic to many physical, biological ...

Model order reduction (MOR) encompasses a collection of mathematical and computational strategies aimed at simplifying high-dimensional dynamical systems while preserving their essential behaviour.

Loparo's research interests include stability and control of nonlinear and stochastic systems with applications to large-scale electricity systems including generation and transmission and ...

Dr. Ramakrishnan's core research interests are in nonlinear, stochastic dynamic systems and control and their applications. Focusing on theoretical and computational analyses, he is an author or ...

Aaron D. Ames is the Bren Professor of Mechanical and Civil Engineering and Control and Dynamical Systems at the California Institute of Technology. He received a B.S. in Mechanical Engineering and a ...

Whether you’re looking to study systems for renewable energy, automation and robotics, or a variety of other engineering areas, our online MS in Systems and Control Engineering program allows you to ...