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

The term "model-based multivariable control" has been so ubiquitous that many people do not realize multivariable control, no less than single-loop control, can be implemented based on feedback, with ...

Multivariable control has become an enigma. On one hand, it is logically the centerpiece of process control-veritably the robotics- of process automation. But on the other hand, even as parallel ...

Multivariable control has long provided significant benefit to the process industries, but most MPC applications require dedicated maintenance by skilled professionals. ControlWizard changes that ...

His current research interests include image-based control systems for robots and aerospace vehicles, automotive control, adaptive control, robust multivariable control theory, and applications of ...

Manufacturers with complex processes leverage model-based, multivariable control to maximize uptime, reduce variability and control closer to performance-limiting constraints. When a process has ...

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.

The advanced control implementation included multivariable controllers and optimizers in all the major process units in both refineries and a separate oil movements and blending optimization project.

ZIBO, China, Dec. 18, 2023 (GLOBE NEWSWIRE) -- Sunrise New Energy Co., Ltd. (“Sunrise”, the “Company”, “we” or “our”) (NASDAQ: EPOW), today announced that the patent application ...