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Published in 2020 at "Journal of The Brazilian Society of Mechanical Sciences and Engineering"
DOI: 10.1007/s40430-020-02549-2
Abstract: In this article, the identification of optimal topologies for multi-material compliant mechanisms based on the regularized projected gradient approach is presented and analyzed. The monolithic structure of compliant mechanisms makes them suitable to be used…
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Keywords:
compliant mechanisms;
regularized projected;
projected gradient;
topology ... See more keywords
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Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.2023
Abstract: Abstract We derive a novel stability criterion for nonsmooth dynamical systems by virtue of a new set-valued Lie derivative of nonsmooth Lyapunov functions. This set-valued Lie derivative requires no computation of generalized gradients. Instead, it…
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Keywords:
criterion;
projected gradient;
stability criterion;
stability ... See more keywords
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Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.09.020
Abstract: Abstract This article aims to propose a real-time compatible strategy for the energy management of a compression-ignition Hybrid Electric Vehicle (HEV), under pollutants emissions constraints. First, an offline method is applied in order to obtain…
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Keywords:
model predictive;
projected gradient;
control;
electric vehicle ... See more keywords
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Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3159402
Abstract: In this letter, we present a sharp algorithmic analysis for alternating projected gradient descent which is used to solve the covariate adjusted precision matrix estimation problem in high-dimensional settings. By introducing a new analytical tool…
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Keywords:
covariate adjusted;
gradient descent;
alternating projected;
projected gradient ... See more keywords
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Published in 2022 at "Optics letters"
DOI: 10.1364/ol.459456
Abstract: In fluorescence diffuse optical tomography (fDOT), the quality of reconstruction is severely limited by mismodeling and ill-posedness of inverse problems. Although data-driven deep learning methods improve the quality of image reconstruction, the network architecture lacks…
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Keywords:
network;
gradient descent;
quality;
projected gradient ... See more keywords