We are proud to welcome Manfred Morari into the 2026 class of the Process Automation Hall of Fame! Manfred’s work in model ...

At California Institute of Technology, he helped build interdisciplinary research environments Morari helped turn MPC from ...

Abstract: The problem of controlling hybrid dynamical systems using model predictive control (MPC) is formulated and sufficient conditions for asymptotic stability of a set are provided. Hybrid ...

ARTIFICIAL intelligence is advancing rapidly. But adoption in process industries will be slower – and for good reason.

“America’s Next Top Model” is back in the spotlight with the release of Netflix’s new three-part documentary series “Reality Check: Inside America’s Next Top Model.” Taking viewers behind the scenes ...

While Gemini 3 is still making waves, Google's not taking the foot off the gas in terms of releasing new models. Yesterday, the company released FunctionGemma, a specialized 270-million parameter AI ...

The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...

HVAC ductwork close-up illustrating building system integration. Source: Sigmund/Unsplash Model predictive control (MPC) uses a model of a system to forecast its behavior, solve an optimization ...

(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...

Abstract: In this paper, we consider the design of model predictive control (MPC) algorithms based on deep operator neural networks (DeepONets) (Lu et al. 2021). These neural networks are capable of ...