• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)
  • View Item
  • Home
  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Optimal velocity planning based on the solution of the Euler-Lagrange equations with a neural network based velocity regression

Article dans une revue avec comité de lecture
Author
ccGHNATIOS, Chady
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
ccDI LORENZO, Daniele
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
564849 ESI Group [ESI Group]
CHAMPANEY, Victor
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
ccCUETO, Elias
161327 Aragón Institute of Engineering Research [Zaragoza] [I3A]
ccCHINESTA SORIA, Francisco
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
1166977 CNRS@CREATE Ltd.

URI
http://hdl.handle.net/10985/25773
DOI
10.3934/dcdss.2023080
Date
2024-07
Journal
Discrete and Continuous Dynamical Systems - Series S (DCDS-S)

Abstract

Trajectory optimization is a complex process that includes an infinite number of possibilities and combinations. This work focuses on a particular aspect of the trajectory optimization, related to the optimization of a velocity along a predefined path, with the aim of minimizing power consumption. To tackle the problem, a functional formulation and minimization strategy is developed, by means of the Euler-Lagrange equation. The minimization is later performed using a neural network approach. The strategy is deemed Lagrange-Net, as it is based on the minimization of the energy functional, by the means of Lagrange's equation and neural network approximations.

Files in this item

Name:
PIMM_DCDS-S_2024_GHNATIOS.pdf
Size:
1.618Mb
Format:
PDF
Description:
OPTIMAL VELOCITY PLANNING BASED ...
Embargoed until:
2025-01-31
View/Open

Collections

  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)

Related items

Showing items related by title, author, creator and subject.

  • Data Completion, Model Correction and Enrichment Based on Sparse Identification and Data Assimilation 
    Article dans une revue avec comité de lecture
    DI LORENZO, Daniele; CHAMPANEY, Victor; GERMOSO, Claudia; ccCUETO, Elias; ccCHINESTA SORIA, Francisco (MDPI AG, 2022-07)
    Many models assumed to be able to predict the response of structural systems fail to efficiently accomplish that purpose because of two main reasons. First, some structures in operation undergo localized damage that degrades ...
  • Describing and Modeling Rough Composites Surfaces by Using Topological Data Analysis and Fractional Brownian Motion 
    Article dans une revue avec comité de lecture
    ccRUNACHER, Antoine; ccKAZEMZADEH-PARSI, Mohammad-Javad; ccDI LORENZO, Daniele; CHAMPANEY, Victor; HASCOET, Nicolas; ccAMMAR, Amine; ccCHINESTA SORIA, Francisco (2023)
    Many composite manufacturing processes employ the consolidation of pre-impregnated preforms. However, in order to obtain adequate performance of the formed part, intimate contact and molecular diffusion across the different ...
  • Damage identification technique by model enrichment for structural elastodynamic problems 
    Article dans une revue avec comité de lecture
    ccDI LORENZO, Daniele; RODRIGUEZ, Sebastian; ccCHAMPANEY, Laurent; ccGERMOSO, Claudia; ccBERINGHIER, Marianne; ccCHINESTA SORIA, Francisco (Elsevier BV, 2024-06)
    Structural Health Monitoring (SHM) techniques are key to monitor the health state of engineering structures, where damage type, location and severity are to be estimated by applying sophisticated techniques to signals ...
  • Data-driven GENERIC modeling of poroviscoelastic materials 
    Article dans une revue avec comité de lecture
    GONZÁLEZ, David; ccCUETO, Elias; ALFARO, Icíar; ccGHNATIOS, Chady; ccCHINESTA SORIA, Francisco (MDPI, 2019)
    Biphasic soft materials are challenging to model by nature. Ongoing efforts are targeting their effective modeling and simulation. This work uses experimental atomic force nanoindentation of thick hydrogels to identify the ...
  • Advanced separated spatial representations for hardly separable domains 
    Article dans une revue avec comité de lecture
    GHNATIOS, Chady; ccABISSET-CHAVANNE, Emmanuelle; ccAMMAR, Amine; ccCUETO, Elias; ccDUVAL, Jean-Louis; ccCHINESTA SORIA, Francisco (Elsevier, 2019)
    This work aims at proposing a new procedure for parametric problems whose separated representation has been considered difficult, or whose SVD compression impacted the results in terms of performance and accuracy. The ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales