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A roll stabiliser controller for a frigate is designed using Quantitative Feedback Theory (QFT) to be robust to parametric changes in the model describing the ship and fins.
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The stabilization is achieved using robust Lyapunov control theory to design a new closure model that is robust to parametric uncertainties.
The algorithm is robust to parametric sensitivity and does not make any a priori assumption about the true signal type or the embedded noise.
The control laws are robust to parametric uncertainties, unmodeled uncertainties, and in some cases, actuator and sensor nonlinearities.
The flexible parametric survival model has been shown to be robust to the number and location of the knots [ 14, 15].
We also prove that the proposed controller is robust to mismatched parametric uncertainties.
Our findings were robust to non-parametric Wilcoxon rank sum test comparing change scores between OLP and TAU.
The preliminary results reported in this article, based upon simulations using a linear transfer function representation of the pitch control system, have demonstrated that the proposed approach is robust to stochastic influences arising from both parametric uncertainty and system disturbance.
Another phenomenon we observed in numerical tests for electro-thermal analysis is that the resulting parametric ROMs are robust to numerical error introduced by PDE discretization.
These parametric tests are robust to violations of the normality assumption, as long as the variables are independent [ 36, 37].
Welch's non-parametric approach is robust to departures from non-homogeneity of variance and is assumed to be more reliable than conventional analysis of variance under such conditions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com