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 ...

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

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Abstract: The control problem of fluid catalytic cracking (FCC) units is a challenging task due to its model complexity, nonlinear dynamics, constrained variables and cross coupling interaction ...

The most nonlinear elements in large multivariable controller models are the valve positions. All of the large-scale multivariable controllers today are assumed linear. They are based on linear ...

Abstract: The multivariable tracking accuracy on an automotive vibration test rig can be improved by extending the current industrial off-line iterative feedforward procedure with a real time feedback ...

Greg: Unit operations are affected by other upstream and downstream unit operations. That’s why plantwide control is necessary, so unit operations work together toward the common goals of greater ...

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 ...

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