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Communication Dans Un Congrès Année : 2013

Mimicking Complexity : Automatic Generation of Models for the Development of Self-Adaptive Systems

Jérémy Boes
Pierre Glize
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Frédéric Migeon

Résumé

Many methods for complex systems control use a black box approach where the internal states and mechanisms of the controlled process are not needed to be known. Usually, such systems are tested on simulations before their validation on the real world process they were made for. These simulations are based on sharp analytical models of the target process that can be very difficult to obtain. But is it useful in the case of black box methods? Since the control system only sees inputs and outputs and is able to learn, we only need to mimic the typical features of the process (such as non-linearity, interdependencies, etc) in an abstract way. This paper aims to show how a simple and versatile simulator can help the design of systems that have to deal with complexity. We present a generator of models used in the simulator and discuss the results obtained in the case of the design of a control system for heat engines.
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hal-04083848 , version 1 (27-04-2023)

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Paternité - Pas d'utilisation commerciale - Pas de modification

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  • HAL Id : hal-04083848 , version 1
  • OATAO : 12475

Citer

Jérémy Boes, Pierre Glize, Frédéric Migeon. Mimicking Complexity : Automatic Generation of Models for the Development of Self-Adaptive Systems. 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2013), Jul 2013, Reykjavik, Iceland. pp.353-360. ⟨hal-04083848⟩
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