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A set of linear models for controller design was obtained by a state subspace identification approach.
It is well-known that system identification is a valuable technique to obtain compact models for controller design and prediction.
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It is used to obtain a reduced order model for controller design.
It is difficult to establish an appropriate model for controller design.
A new scheme called exploratory modelling for controller optimisation (EMCO) is introduced to obtain simple robust controllers.
This paper addresses the issue of mismatch between the actual disturbance model of a process and an assumed model for controller design.
To minimize process perturbation by identification experiments, the model for controller design was derived from a rigorous LNG simulator.
The automated design scheme called exploratory modelling for controller optimization (EMCO) is re-examined to obtain simple robust controllers for complex plant dynamics.
The design scheme called exploratory modelling for controller optimization (EMCO) is used to obtain simple robust controllers for complex plant dynamics in vibration control.
The developed controller is proven to function throughout the test campaign, which also proves the reliability of the simplified simulation model for controller design.
This paper describes a new simplified model for controller design of open water channels that are relatively short, flat and deep: the integrator resonance model (IR model).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com