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 ...

As AI evolves to enterprise-grade complexity and scale, a new operating model is quietly evolving - Agentic Process Outsourcing. Here is how.

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 ...

Rockwell Automation Pavilion8 Model Predictive Control (MPC) software now empowers engineers to design and execute step tests faster, safer and more accurately. Unlike manual step tests that must be ...

Partnerships between OEMs and industrial control system vendors often only involve the integration of PLCs or components in the machines. But with consumer behavior changing market demands—especially ...

A new technique able to forecast how changes to parameters will impact biomanufacturing processes could revolutionize drug production, save manufacturers time and money, and help increase access 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 ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.