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Ali Tivay
Researcher at University of Maryland, College Park
Publications - 32
Citations - 213
Ali Tivay is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Actuator & Servomechanism. The author has an hindex of 6, co-authored 26 publications receiving 128 citations. Previous affiliations of Ali Tivay include Amirkabir University of Technology.
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Leakage fault detection in Electro-Hydraulic Servo Systems using a nonlinear representation learning approach.
TL;DR: The objective is to find a nonlinear mapping to transform raw data into another space in which classification becomes easier and the performance of the resulting transformation is tested in an experimental setting to show the merits of the proposed method.
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A switched energy saving position controller for variable-pressure electro-hydraulic servo systems.
TL;DR: An EHSS structure with controllable supply pressure is proposed and its dynamic model is derived from the basic laws of physics to control both the supply pressure and the cylinder position at the same time, in a way that reduces the overall energy consumption of the system.
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Pulse Transit Time-Pulse Wave Analysis Fusion Based on Wearable Wrist Ballistocardiogram for Cuff-Less Blood Pressure Trend Tracking
Peyman Yousefian,Sungtae Shin,Azin Mousavi,Ali Tivay,Chang-Sei Kim,Ramakrishna Mukkamala,Dae-Geun Jang,Byung Hoon Ko,Jong-wook Lee,Kwon Ui-Kun,Youn Ho Kim,Jin-Oh Hahn +11 more
TL;DR: It is demonstrated that model-based selection of PWA features can enhance the robustness of BP trend tracking based on BCG PTT-PWA fusion and the development of P WA-based BP predictors orthogonal to PTT.
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Precise position control of an electro-hydraulic servo system via robust linear approximation.
TL;DR: This paper presents a study on electro-hydraulic servo system for the purpose of position control using a compatible linear model, and proposes a procedure with less conservativeness and less restriction that has the fastest operation without any overshoot.
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Practical Use of Regularization in Individualizing a Mathematical Model of Cardiovascular Hemodynamics Using Scarce Data.
TL;DR: The goal of this work is to garner potentially generalizable insight into the practical use of regularization in individualizing a complex physiological model using scarce data by investigating its effect in a clinically significant critical care case study of blood volume kinetics and cardiovascular hemodynamics in hemorrhage and circulatory resuscitation.