Two-mass drive systems, comprising two inertial masses interconnected by a flexible coupling or shaft, have attracted significant attention due to their inherent nonlinear dynamics and complex ...

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 ...

The course consists of three weeks of materials and is focused on modeling and control of grid-tied power electronics. Upon completion of the course, you will be able to understand, analyze, model, ...

(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...

A proposed new model for current-mode control retains the strengths of existing models such as ease of use and the ability to capture subharmonic oscillations, while improving on weaknesses like dc ...

Unlike traditional mobile robots, legged robots leverage their distinctive “leg” structures to traverse obstacles and adapt to uneven terrain, demonstrating exceptional mobility when confronted with ...

Model Predictive Control (MPC) is a modern feedback law that generates the control signal by solving an optimal control problem at each sampling time. This approach is capable of maximizing a certain ...

It’s long been known that a reactive approach to industrial control system maintenance is not an ideal strategy. Working from a reactive stance, in which problems are corrected as they occur, results ...