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 ...

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Abstract: This paper proposes a model predictive control (MPC) method based on genetic algorithm optimization for the problem of multivariable control of boilers. By constructing a dynamic ...

Experiments on process dynamics, control and simulation of processes. Time constant; step and frequency response; controller tuning; multivariable control strategies. Implementation using simulation ...

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 ...

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 ...

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 ...

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) ...