Over the past few decades, robotics researchers have developed a wide range of increasingly advanced robots that can ...

Economic Model Predictive Control (EMPC) represents an evolution of traditional control strategies, where the primary objective is to directly optimise an economic cost function rather than merely ...

As LLM scaling hits diminishing returns, the next frontier of advantage is the institutionalization of proprietary logic.

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 ...

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 ...

Ever since artificial intelligence and large language models became popular earlier this year, organizations have struggled to keep control over accidentally or deliberately exposing their data used ...

Theme: "Foundation Models for Intelligent Control in Autonomous Driving Traffic Systems" We are excited to announce a special call for papers for an upcoming issue of Communications in Transportation ...

A proposed new model for current-mode control retains the strengths of existing models such as ease of use and the ability to capture subharmonic oscillations, while improving on weaknesses like dc ...

Centralized agentic governance ultimately comes down to four disciplines: discovery, control, testing and protection.