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 ...

Model of Motor Network during Parkinson's Disease and Deep Brain Stimulation. The model simulates LFP, EMG and associated force signals from the motor system. A multivariable adaptive control strategy ...

Pharmaceutical automation leaders from around the world gathered for the annual Pharmaceutical Automation Roundtable (PAR) in Copenhagen, Denmark, to discuss a number of automation challenges facing ...

Abstract: In industrial production, multi-input and multi-output multivariable control systems are commonly utilized to meet production requirements. Due to the intricate correlations among devices in ...

It is developed the problem of control a multivariable four tank system around an equilibrium point, including robustness issues and decoupling approaches.

A trip through past issues of InTech reveals a wealth of resources for understanding closed-loop control fundamentals. A trip through past issues of InTech reveals a wealth of resources for ...