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When model-based multivariable control made its debut in the 1980s, it was expected that process models, once acquired through a plant step test, would be durable and long lived. However, this ...

At yearend 1998, Koa Oil Co. (now part of Nippon Oil Corp.) embarked on a comprehensive advanced control implementation at its refineries in Marifu and Osaka. The advanced control implementation ...

HOUSTON, April 12 /PRNewswire/ -- PAS today announced the expansion of its leading ControlWizard Control Loop Performance Monitoring (CLPM) technology with full multivariable predictive control (MPC) ...

DOVER, USA, Oct. 22, 2025 (GLOBE NEWSWIRE) -- Sunrise New Energy Co., Ltd. (“Sunrise,” the “Company,” “we,” or “our”) (NASDAQ: EPOW) today announced that its subsidiary has been granted a global ...

Multivariable predictive control technology increased oil and gas production by 4% from BP PLC's Marlin tension leg platform (TLP) in the Gulf of Mexico. While multivariable control technology is ...

Multi-variable model-based control is a technology known to provide superior performance over traditional single-input-single-output control strategies. Originally developed for petroleum refineries ...

In many industrial applications, the output of a process characterized by p variables that are measured simultaneously. Independent variables can be charted individually, but if the variables are ...

Model predictive control (MPC) has emerged as a powerful methodology for optimising the performance of grinding mill circuits in mineral processing. By utilising a dynamic model of the process, MPC ...