Process Engineering encompasses the analysis, modeling, simulation, optimization, design, control and operation of process systems, from micro-sized systems to huge industrial facilities. Many ...

Have you ever thought about how and why something was designed? Who was considered a “stakeholder” for the design? And what biases are baked within the process of designing something? These are some ...

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 ...

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 ...

Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...

PNY has submitted this article. Today, artificial intelligence (AI) and machine learning (ML)-based systems enable applications ranging from junk mail or text filters to autonomous vehicles and robots ...

Multivariable control systems design and optimization addresses the task of regulating multiple interdependent process variables within a single framework. Unlike single‐loop controllers, ...

Linear parameter-varying (LPV) control design constitutes a framework for managing systems whose dynamics change continuously with measurable parameters. By representing a nonlinear or time-varying ...

FDA's quality system regulation (QSR) is often perceived by medical product developers as unnecessary overhead. Software developers, in particular, often see it as a nuisance that delays the ...