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The proposed approach is analytically shown to converge and the necessary magnitude of perturbations to assure this convergence is derived.
Convergence is derived in Section 5 to show that these new decoupled algorithms keep the same order of approximation accuracy as the coupled method.
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Conditions for the convergence are derived.
Sufficient conditions for ensuring the estimation error convergence are derived employing the LMI framework.
Proof of boundedness of the adaptive laws is offered, and sufficient conditions ensuring exponential convergence are derived.
Conditions for the local convergence are derived and numerical comparisons between different elements of the family are carried out.
Conditions for convergence were derived in [5], which reveals that convergence and stability are tightly linked to the intersite propagation delays between neighboring BSs.
Sufficient conditions for convergence are derived and are shown to correspond to realistic material creep properties only in the case of the kinematic method.
Necessary and sufficient conditions on the weights for fifth-order convergence are derived; one more condition than previously published is found.
Moreover, technical conditions for convergence are derived for the variable-gain controlled system and a quantitative performance measure, taking into account both low-frequency tracking properties and high-frequency measurement noise sensitivity, is proposed.
In this work, two conditions that the three penalty exponents must satisfy for stable convergence are derived for one-dimensional problems and their effectiveness for two-dimensional problems is investigated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com