Persona:
Urquía Moraleda, Alfonso

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0000-0003-0124-3111
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Urquía Moraleda
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Alfonso
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2022 - 20234
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Autor: Sanz Prat, Víctorino × Fecha de inicio: 2020 ×

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Mostrando 1 - 4 de 4
  • Miniatura
    Publicación
    MSGLib: A Modelica library for message passing communication
    (Elsevier, 2023-07) Sanz Prat, Víctorino; Urquía Moraleda, Alfonso
    MSGLib is a Modelica library designed and developed to support message passing communication and the management of data structures stored in dynamic memory. The functionality of the library facilitates the description of discrete-event models and their combination with other Modelica functionality. MSGLib has been used as a base to develop other Modelica libraries such as DEVSLib, ARENALib and ABMLib. A new version of MSGLib is presented in this manuscript, that includes user documentation, performance optimization and illustrative examples. The library has been developed and tested under Dymola and OpenModelica, and is freely distributed under the LGPL-3.0 license.
  • Miniatura
    Publicación
    Cyber–physical system modeling with Modelica using message passing communication
    (Elsevier, 2022-05) Sanz Prat, Víctorino; Urquía Moraleda, Alfonso
    Modelica is an object-oriented modeling language whose design and features facilitate the description of cyber–physical systems (CPS). Message passing communication (MPC), seen as the transmission of impulses of information between model components, eases the description of the discrete-event parts of CPS models. However, Modelica does not currently supports MPC. Modelica supports an equation-based component connection rationale, where Modelica tools automatically transform component connections into model equations, following a physical modeling approach. The differences between MPC and Modelica connections are analyzed. A proposal for supporting MPC in Modelica is presented, inspired by the coupled PDEVS model communication approach. The presented MPC proposal is based on the definition of structures to manage messages, named buffers, interface ports and communication channels. Also, an implementation of the proposed MPC mechanism in the form of a new free Modelica library, named MSGLib, is presented. MSGLib includes functionality to manage and dynamically store messages, and describe component communications. Two examples, a pick and place system and a robotic arm, are presented to demonstrate the use of the library, and its combination with other Modelica models.
  • Miniatura
    Publicación
    Agent-Based Modeling of Traffic Systems Using Modelica
    (IEEE, 2022-12) Sanz Prat, Víctorino; Urquía Moraleda, Alfonso
    A microsimulation model of traffic described using the Modelica language in combination with the Modelica libraries developed by the authors, ABMLib and CellularAutomataLib2, is presented. Modelica facilitates the description of equation-based models using the physical modeling paradigm, and its combination with the discrete-event and agent-based modeling functionality of the developed libraries constitutes a powerful and versatile tool. The functionality of ABMLib is extended to facilitate the description of individual agent behavior as a combination of equation-based and discrete-event models. In this way, vehicle dynamics and fuel consumption are modeled using equations, while driver behavior is described using an agent-based model. Vehicles move along the road, which is described as a combination of interconnected segments that constitute the environment for the agents. A cellular automaton is used to model the CO2 emissions of vehicles to the environment. A model that represents two consecutive road segments with a semaphore between them is used to illustrate the provided functionality.
  • Miniatura
    Publicación
    Combining PDEVS and Modelica for describing agent-based models
    (SAGE, 2022-05-08) Sanz Prat, Víctorino; Urquía Moraleda, Alfonso
    Modelica is a general-purpose modeling language mainly designed to facilitate the development, reusability and exchange of models. It represents the state-of-the-art in equation-based modeling of continuous-time systems. Modelica libraries facilitate the description of multi-formalism and multi-domain models. However, the description of agent-based models (ABMs) in Modelica is not currently supported, mainly due to the characteristics of the language and its simulation algorithm. The combination of ABMs with continuous-time equations provides a powerful tool for describing and analyzing complex systems. An approach for describing ABMs using the Modelica language is presented in this manuscript, with the objective of facilitating the combination of ABMs with the rest of Modelica functionality. Agent behavior is described using a process-oriented modeling approach. Agents are described as individual entities that move across a flowchart diagram, that represents the processes that agents undergo. Processes are formally described using the Parallel DEVS formalism, extended to describe the interface with other Modelica models. The environment where agents interact is described as a cellular automaton. This approach has been implemented in a free Modelica library, named ABMLib. Three case studies are discussed to illustrate the modeling functionality of the library and its combination with other models: a basic traffic model, a sheep–wolves predator–prey model and a consumer market model.