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Unlike the floating frame of reference approach, no co-ordinate transformation is required in order to determine the element inertia.
In this article, a systematically discrete dynamic sliding surface design methodology based on the model reference approach is presented.
These approaches are compared to a reference approach involving finite differences reconstruction of the displacement field from the strain field.
The design applies a model reference approach, based on a continuous-time controller that has been designed using a robust optimal control design.
Adaptive control schemes using a model reference approach with sensor uncertainty compensation are developed for LTI plants with either known or unknown plant dynamics.
Indeed, sustainability is becoming the international reference approach to reconciling the different fields of analysis, i.e. the technical performance, economic viability, environmental preservation and societal acceptance.
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In elastic-static analysis, it is found that SNIM-SG can provide higher accuracy in displacement field than the reference approaches do.
The use of artificial neural networks in adaptive and model reference approaches is also highlighted as is their use in optimising the parameters of neurofuzzy designs.
These reference approaches to prosodic event detection have been summarized in Table1.
However, as we show later that the resulting performance is still much better than reference approaches.
First, we present the main results regarding the normal hearing auditory model in comparison to the reference approaches (Section 6.1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com