Control Station, a leading provider of process optimization and control performance monitoring solutions, has announced that ...

The two most common categories of process responses in industrial manufacturing processes are self-regulating and integrating. A self-regulating process response to a step input change is ...

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 ...

Advanced packaging is transforming semiconductor manufacturing into a multi-dimensional challenge, blending 2D front-end wafer fabrication with 2.5D/3D assemblies, high-frequency device ...

The process control and instrumentation minor emphasizes developing skills and knowledge in theory, software and in the field. Students graduate ready to solve complex control problems in the chemical ...

The two most common categories of process responses in industrial manufacturing processes are self-regulating and integrating. A self-regulating process response to a step input change is ...

DuPont is a big proponent of the digital twin, wherein all the elements and dynamics of physical plant assets can be replicated in software for process assessment and optimization and operator ...

Welcome to the Dynamics and Control Systems Research Group at the Department of Mechanical Engineering, Santa Clara University. Our lab provides a stimulating environment for undergraduate and ...

Research in dynamics includes theoretical, computational and experimental research in the general area of dynamical systems, dynamics and vibrations, dynamics of flexible bodies, high-dimensional ...