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16 results on '"Monsalve, German"'

1. Gelfand-Tsetlin varieties for Yangians

Author

Monsalve, Germán Benitez

Subjects
Mathematics - Representation Theory, Mathematics - Algebraic Geometry
Abstract

S. Ovsienko proved that the Gelfand-Tsetlin variety for $\mathfrak{gl}_n$ is equidimensional (i.e., all its irreducible components have the same dimension) of dimension $\frac{n(n-1)}{2}$. This result is known as Ovsienko's Theorem and it has important consequences in Representation Theory of Algebras. In this paper, we will study the Gelfand-Tsetlin varieties for restricted Yangian $Y_p(\mathfrak{gl}_n)$ and the equidimensionality for $Y_p(\mathfrak{gl}_3)$., Comment: 40 pages. arXiv admin note: text overlap with arXiv:1802.07248

Published
2018

2. Gelfand-Tsetlin variety for $\mathfrak{gl}_n$

Author

Monsalve, Germán Benitez

Subjects
Mathematics - Representation Theory, Mathematics - Algebraic Geometry
Abstract

S. Ovsienko proved that the Gelfand-Tsetlin variety for $\mathfrak{gl}_n$ is equidimensional (i.e. all its irreducible components have the same dimension) with dimension equals $\frac{n(n-1)}{2}$. This result has important consequences in Representation Theory of Algebras, implying, in particular, the equidimensionality of the nilfiber of the Kostant-Wallach map. In this paper we will present the generalization of this result and will address a weak version of Ovsienko's Theorem which includes the regular case., Comment: 18 pages

Published
2018

8. Assessing the Limits of Equivalent Circuit Models and Kalman Filters for Estimating the State of Charge: Case of Agricultural Robots.

Author

Monsalve, German, Cardenas, Alben, Acevedo-Bueno, Diego, and Martinez, Wilmar

Subjects
*AGRICULTURAL robots, *KALMAN filtering, *MOBILE robots, *LEAD-acid batteries, *AGRICULTURAL chemistry, *MOBILE apps
Abstract

The battery State of Charge (SoC) is critical information to overcome agricultural robots' limitations related to battery and energy management. Although several SoC estimation methods have been proposed in the literature, the performance of these methods has not been validated for different battery chemistries in agricultural mobile robot applications. Compared to previous work, this paper evaluates the limits of the SoC estimation using the RC model and the Thevenin model for a Lithium Iron Phosphate (LFP) battery and a Sealed Lead Acid (SLA) battery. This evaluation used a custom agricultural robot in a controlled indoor environment. Consequently, this work assessed the limitations of two ECM-based SoC estimation methods using battery packs, low-cost sensors and discharge cycles typically used in agricultural robot applications. Finally, the results indicate that the RC model is not suitable for SoC estimation for LFP battery; however, it achieved a mean absolute error (MAE) of 2.2% for the SLA battery. On the other hand, the Thevenin model performed properly for both chemistries, achieving MAE lower than 1%. [ABSTRACT FROM AUTHOR]

Published
2023
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12. Association of pre-eclampsia risk with maternal levels of folate, homocysteine and vitamin B12 in Colombia: A case-control study

Author

Serrano, Norma C., primary, Quintero-Lesmes, Doris Cristina, additional, Becerra-Bayona, Silvia, additional, Guio, Elizabeth, additional, Beltran, Mónica, additional, Paez, María C., additional, Ortiz, Ricardo, additional, Saldarriaga, Wilmar, additional, Diaz, Luis A., additional, Monterrosa, Álvaro, additional, Miranda, Jezid, additional, Mesa, Clara M., additional, Sanin, José E., additional, Monsalve, German, additional, Dudbridge, Frank, additional, Hingorani, Aroon D., additional, and Casas, Juan P., additional

Published
2018
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16. Analysis of two Equivalent Circuit Models for State of Charge Estimation using Kalman Filters

Author

German Monsalve, Alben Cardenas, Wilmar Martinez, Monsalve, German, Cardenas, Alben, and MARTINEZ, Wilmar

Subjects
RLS, Equivalent Circuit Model, Kalman Filters, SoC estimation, Parameter estimation, Battery
Abstract

Battery State of Charge estimation is critical to improve performance, lifetime, and safety of batteries used in agricultural robotic systems. This paper analyzes two different Equivalent Circuit Models that can be used for State of Charge estimation of batteries. We analyze the RC model proposed by the National Renewable Energy Laboratory and the 2RC Thevenin model. The main objective of this study is to determine the advantages and limits of equivalent circuit models for online State of Charge tracking. We performed, for each model, an estimation of the parameters offline. Also, the Recursive Least Square technique was implemented for one of the models to analyze the effect of the online estimation in battery modeling. Then, we implemented and analyzed two Kalman Filters for State of Charge estimation: Linear Kalman Filter and Unscented Kalman Filter. Finally, we provide simulation results of models implemented using MATLAB that we evaluated using experimental data from tests performed on a Panasonic 18650PF Li-ion Battery. This work was supported in part by the Ministere des ` Relations Internationales et de la Francophonie du Quebec – ´ MRIF.

Published
2022

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