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 ...
Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...
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 ...
How self-tuning can support an adaptive control strategy. How Model Reference Adaptive Control can improve adaptability. The different types of MRAC. A certain amount of flexibility is always good to ...
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 ...
Noted for his intelligence, diligence and influence on the process control industry, Duncan Mellichamp, a professor emeritus of chemical engineering at UC Santa Barbara, has been inducted into the ...
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 ...
Process control can be viewed as the executive portion of a unit process. It provides the means to direct a process so that it produces the desired results. It is complementary to the role played by ...
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 ...
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