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In this paper, we consider identification of a nonlinear additive system.
We consider identification of systems with a parallel serial (cascade) structure with multiple-input and multiple-output signals.
We consider identification of absolute permeability (hydraulic conductivity) based on time series of pressure data in sparsely distributed wells for two-phase porous-media flow.
We now consider identification of these parameters using experimental data.
As far as we know, the present paper is the first one to consider identification problems for differential equations of Sobolev type.
Below, we will consider identification conditions in the case where a node may be affected by the treatment status of his network neighbours even if their outcomes do not shift in response to the treatment.
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This paper considers identification of unknown parameters in elastic dynamic models of industrial robots.
This paper considers identification of viscous damping under circumstances when the actual damping model in the structure is non-viscous.
The input design problem over a time horizon of length N is also investigated, in order to characterize the time complexity of the considered identification problem.
We extend Robins' MSM theory by considering identification of MSM parameters with the aid of a time-varying instrumental variable, when sequential randomization fails to hold due to unmeasured confounding.
Chapter 4 considers identification in dynamic settings.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com