Dynamic modelling and control of robotic systems constitute a vital area of research, where the formulation of precise mathematical models of robot dynamics underpins the design of effective control ...

Develop a foundation of analytical mechanics and multiphysics modeling. Use individual and team exercises to build skills for a dynamic systems approach. Engineered systems increasingly must exploit ...

Dynamic optimisation and model predictive control (MPC) are at the forefront of modern process systems engineering, offering robust methodologies to address the challenges posed by time-varying ...

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 ...

Systems and control is a multidisciplinary field that focuses on the behavior and regulation of dynamic systems. Systems are often optimized for stability, performance, or other desired outcomes ...

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 ...

Bryan Maldonado, a dynamic systems and controls researcher at the Department of Energy’s Oak Ridge National Laboratory, has been recognized by the 2023 Hispanic Engineer National Achievements Awards ...

U.S. Navy Lt. Michael “Tom” Piscopo, an NPS student pursuing a dual master’s degree in mechanical engineering and applied mathematics, discusses dynamic systems equations with NPS Professor of Applied ...