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Diana Hernandez-Alcantara

Researcher at Monterrey Institute of Technology and Higher Education

Publications -  30
Citations -  204

Diana Hernandez-Alcantara is an academic researcher from Monterrey Institute of Technology and Higher Education. The author has contributed to research in topics: Damper & Control theory. The author has an hindex of 7, co-authored 30 publications receiving 160 citations. Previous affiliations of Diana Hernandez-Alcantara include University of Monterrey.

Papers
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Modeling, diagnosis and estimation of actuator faults in vehicle suspensions

TL;DR: In this article, an experimental multiplicative fault model is proposed and statistically validated with an index error of 15% for damper leakage, which is used as design basis for two Fault Detection and Isolation (FDI) frameworks.
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Global chassis control system using suspension, steering, and braking subsystems

TL;DR: Vivas-Lopez et al. as discussed by the authors proposed a global chassis control (GCC) system based on a multilayer architecture with three levels: top: decision layer, middle: control layer, and bottom: system layer.
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Magneto-rheological dampers—model influence on the semi-active suspension performance

TL;DR: The main aim of this paper is to study the effects that may appear in the closed-loop performance of an automotive suspension system when the damper model is unable to represent crucial nonlinear MR phenomena.
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Parameter-Dependent H∞ Filter for LPV Semi-Active Suspension Systems

TL;DR: In this article, a linear parameter-varying H∞ (LPV-H∞) filter was proposed for the semi-active force of a Magneto-Rheological (MR) damper embedded in a Quarter of Vehicle (QoV) model.
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Improved Model for Micro-UAV Propulsion Systems: Characterization and Applications

TL;DR: An improved propulsion model for multirotor small unmanned aerial vehicles is developed by incorporating the effects of airflow speed, direction, rotor interaction, and other phenomena related to particular configurations, which are elements that are lacking in typical models.