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 ...

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 ...

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

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 ...

(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 ...

As designs move beyond System-on-Chip (SoC) to more complex System-of-Systems (SoS), it’s essential for design teams to effectively verify that these systems function together as intended.

Multi-part effort Define in detail an abstract model of the enterprise, including manufacturing control functions and business functions, and its information exchange. Establish common terminology for ...

Complexity in hardware design is spilling over to other disciplines, including software, manufacturing, and new materials, creating issues for how to model more data at multiple abstraction levels.