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Rainfall inputs are derived from Next Generation Radar (NEXRAD).
Such design inputs are derived from the bilinear envelope of individual spectra obtained for 144 ground motions recorded in Colombia.
Transfer functions relating the dynamics of the product composition responses to changes in the disturbance inputs and manipulated inputs are derived.
To overcome the coupled nonlinearities and investigate the zero dynamics, input output linearization is performed, and then the new decoupled inputs are derived.
The localization process relies on artificial neural networks (ANNs) whose inputs are derived from a principal component analysis of the damage metrics.
In the method, two conditions relevant to external inputs are derived to ensure the network states converge to a stable interval, and an exponential stable criterion is proposed for the network being a bipolar associative memory with higher recall speed.
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Inputs were derived from a number of talks with the farmers and from literature.
The Pareto-optimal set of inputs is derived and how it is used in system identification is discussed.
The Pareto-optimal set of inputs is derived and how to use it in system identification is discussed.
The algorithms for designing a nonlinear observer for nonlinear systems with unknown inputs is derived in detail.
A generalized H∞-norm for systems with stochastic parameters and both stochastic and deterministic inputs is derived.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com