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The choice of controller parameters stands on the whole system stability requirements.
An explicit characterization of the networked closed-loop stability region is obtained in terms of the update period, the accuracy of the models, and the choice of controller design parameters.
Another interesting observation is that for the debutanizer example, the nonlinearities seem to lead to biased estimates also with the closed loop subspace method, and the choice of controller gain appears to be just as important as the use of a closed loop subspace identification method for the accuracy of the estimates.
SBL defines a boundary in the parametric design plane of controller, which separates stable and unstable regions of a feedback control system and SBL analysis is mainly employed to graphically indicate the choice of controller parameters which result in stable operation of the feedback systems.
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The choice of control parameters takes into account the control cost and robustness of the controller.
The first strategy uses an event-based feedback controller to modify the ELPM and the second one is based on the choice of controlled outputs.
In order to validate the choice of this controller, a comparative study is proposed to be conducted with the well proven adaptive nonlinear state feedback controller (ANSF).
Further investigation regarding the choice of the controller's sampling time Ts is also presented and useful conclusions for control engineers are derived.
The following theorems related to the choice of the controller tuning parameters in order to meet such properties are proven.
The following theorems related to the choice of the controller tuning parameter values λ i for i ∈ { 0, 1, 2 } are proven, in order to meet such properties under an eventual vaccination effort.
The affect of the choice of the controller's sampling time is investigated further to the step and frequency response of the control loop both for the output of the control loop and the controller's command signal.
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Justyna Jupowicz-Kozak
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