Process control and simulation lie at the heart of modern industrial operations, enabling continuous monitoring, dynamic adjustment, and predictive optimisation of complex process systems.

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 ...

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 ...

In process automation, an alarm is defined as an audible and/or visible means of indicating to the operator an equipment malfunction, process deviation, or abnormal condition requiring an operator ...

Vacuum degassing processes in low carbon steel production improve material properties, with real-time gas analysis critical ...

Compared to factory automation, process control places additional demands on communication technology. Process plants, which extend over wide areas, have a lifespan of 20+ years. They invariably run ...

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 ...

University of Hyderabad, Telangana is a Central university in Telangana. It is located in Prof. C.R. Rao Road, Gachibowli, Hyderabad,Telangana, 500046, India . Given below are the PG in Process ...