Sentence examples for linear augmentation from inspiring English sources

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This paper studies the control of coexisting attractors in an impacting system via a recently developed control law based on linear augmentation.

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For strong interactions, a percolation phenomenon occurred, leading to a high reinforcement level (driven by interparticle contacts and aggregate morphology) whereas a simple linear modulus augmentation is observed, independently of the aggregation state, for softer interactions.

We study linear anti-windup augmentation for linear control systems with saturated linear plants in the special case when the anti-windup compensator can only modify the input and the output of the windup-prone linear controller.

The study aims proposing augmentation of linear GARCH, fractionally integrated FI GARCH and Asymmetric Power APGARCH models with LSTAR type nonlinearity modeling.

In this paper, we address and solve the problem of anti-windup augmentation for linear systems with input and output delay.

The proposed method is obtained by applying the modified Newton Raphson technique and the orthonormal condition of the eigenvectors to the linear eigenproblem through matrix augmentation of the quadratic eigenvalue problem.

We used GEE augmentation of linear models to determine the effects of age and genotype on PON1 activity in children (Table 3).

[1], [21] As there is a linear relationship between heart rate and augmentation index, the augmentation index was standardized to a heart rate of 75 bpm (AIx-75).

Then an instant performance index instead of the infinite integration index is adopted, and the upper bound of this index is taken as the stability condition of a Lyapunov function to obtain a robust tracking controller via an augmentation control and linear matrix inequality (LMI).

Therefore, the margins of the basal and grafted bone and the rim of the TM were defined, and linear measurements for vertical and horizontal bone augmentation were made on one descriptive coronal section in a midalveolar position (Fig. 9).

For observability analysis purposes, a nonlinear sensor-based dynamical system is formulated resorting only to exact linear and angular kinematics and a state augmentation is exploited that allows the proposed formulation to be considered as linear time-varying without linearizing the original nonlinear system.

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