Sentence examples for graphical condition from inspiring English sources

Exact(2)

A necessary and sufficient graphical condition for the decomposability, i.e. the existence of a PEVP, is proposed.

We use a previously developed distributed model and the linearized bit-rock interaction law to derive a graphical condition for stability based on the Nyquist stability criterion.

Similar(58)

What is inferred from the diagram is premiss 2. Premisses 1 and 3 are assumptions linking analytical with graphical conditions.

This article identified the graphical conditions on unique localizability in cooperative networks with hybrid distance and bearing measurements.

In this article, we deal with resolving the graphical conditions of cooperative localization in networks that use hybrid distance and bearing (a.k.a. angle of arrival, AOA) measurements.

Given the graphical conditions that would guarantee unique localizability in the noiseless case, localization in the noisy case can be posed as a minimization problem.

Section 5 deals with the graphical conditions of hybrid distance-bearing based rigidity, the construction of spanning tress and distance-bearing-based Henneberg sequences for localization.

In the article by Eren, graphical conditions that lead to unique localizability in cooperative networks with hybrid distance and bearing measurements are determined.

One of the main contributions of this paper is to prove the necessary and sufficient graphical conditions for a discrete-time dynamical network to feature a diagonal Gramian.

Moreover, data-based graphical conditions are provided in the frequency-domain under which closed-loop stability can be verified irrespective of how the switching between the controllers occurs in time.

We summarize the graphical conditions of the networks with distance-only measurements, bearing-only measurements, and hybrid distance-bearing measurements for comparison as follows: For networks with distance-only measurements, if we start with a connected graph G, then G3 is required for linear complexity.

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