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Descripción
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| The H2020 CERBERO [7] project is developing a continuous design environmentfor Cyber Physical Systems (CPS), leveraging on a large set of tools that supportboth run-time and design-time issues of CPS [21]. One of the main outcomes ofthe project, beside the continuous design framework, is the extensive and efficientsupport for run-time adaptation [22]. The algorithm and demonstration set-uppresented below is compliant with CERBERO Planetary Exploration (PE) use-case scenario, which is built using CERBERO technologies and aims at assessingheterogeneous and reconfigurable Multi-Processor System on Chip (MPSoC) so-lutions in space applications. The final demonstrator of this scenario will be thecontroller of a robotic arm implemented over a Field Programmable Gate Ar-ray (FPGA) device, with advanced self-monitoring and self-adaptive processingcapabilities to ruggedize the systems under stringent survival conditions (radi-ation and harsh environment) and meet the reliability constraints of a roboticexploration mission. In this work we present the preliminary implementation ofsuch controller using the Damped Least Square algorithm [9,10]. | |
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Internacional
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Si |
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Nombre congreso
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CPS SUMMER SCHOOL 2019. Designing Cyber-Physical Systems - From concepts to implementation. |
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Tipo de participación
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960 |
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Lugar del congreso
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Alghero |
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Revisores
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Si |
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ISBN o ISSN
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1613-0073 |
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DOI
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https://doi.org/10.6025/jio/2020/10/1/22-32 |
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Fecha inicio congreso
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23/09/2019 |
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Fecha fin congreso
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27/09/2019 |
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Desde la página
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107 |
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Hasta la página
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118 |
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Título de las actas
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Designing Cyber-Physical Systems - From concepts to implementation. |