For years, Process manufacturers have used various tools to optimize industrial processes for specific economic objectives. Multi-variable process control (MPC), or better known as Advanced Process ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Tignis has announced a $7.2 million series A funding. The company creates ...

A data filter is a device, algorithm, or process that removes some unwanted components or features from a data signal. The unwanted component may be random noise (perhaps from mixing turbulence or ...

PLC evaluation board applications for industrial process-controlsystems are diverse, ranging from simple traffic control to complexelectrical power grids, from environmental control systems ...

Honeywell announced the release of Experion LX, a purpose-built distributed control system (DCS) for small to mid-size operations with continuous and batch process control applications. Experion LX is ...

Even after 20 years or so, process control continues to be a confusing or misunderstood technology. A short description of process control is an accurate one—It’s a means of controlling manufacturing ...

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 ...

One of the key ideas in lean manufacturing is that defects should be detected as early as possible. Efforts to control manufacturing processes so that issues can be detected before defects occur ...