Multivariable control systems design addresses the challenges of controlling processes with several interacting inputs and outputs. This field synthesises advanced control theories with practical ...

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 ...

Editor's Note: InTech with Automation.com is planning a survey of readers' input about how they would like to see multivariable control move forward. Please email your feedback or proposed survey ...

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 ...

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) ...

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 ...

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 ...

Rockwell Automation Pavilion8 Model Predictive Control (MPC) software now empowers engineers to design and execute step tests faster, safer and more accurately. Rockwell Automation Pavilion8 Model ...

Jeffrey B. Burl is a professor emeritus of electrical and computer engineering at Michigan Technological University. He received a BS in Physics and Astronomy, with honors in astronomy and distinction ...

Recently, Zhejiang Qiantang Robot and Intelligent Equipment Research Co., Ltd. obtained a patent titled "Delay-Based Multivariable Spiral Control Method for Robotic Arms Considering Input Saturation." ...