Using NN-DEVS Approach for Modelling and Simulation of Imperfect Systems: Application to the Reactive Navigation of Autonomous Robot
| Autor: | Mohamed Goucem, Bendaoud Mebarek, Youcef Dahmani, Kadda Mostefaoui |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
DEVS
Artificial neural network ComputingMethodologies_SIMULATIONANDMODELING business.industry Computer science Formalism (philosophy) ComputingMilieux_PERSONALCOMPUTING Navigation system Context (language use) Mobile robot Autonomous robot Computer Science::Other Artificial intelligence Representation (mathematics) business |
| Zdroj: | 2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). |
| DOI: | 10.1109/icecce52056.2021.9514097 |
| Popis: | In this paper, we are interested in the modelling and simulation of imperfect systems in the DEVS context. We want to hybrid the DEVS formalism with artificial neural networks and to propose a new modelling and simulation approach which makes it possible to represent the behavior of imperfect systems. The problematic of our work is the integration into the DEVS formalism of tools from artificial intelligence allowing the representation, manipulation, and processing of imperfect data (imprecise, uncertain). NN-DEVS is a new hybrid approach which allows to extend the classic DEVS formalism. This new approach is effective in uncertain systems where the behavior of the system is stochastic. To validate the proposed NN-DEVS approach, we apply this approach to a complex reactive navigation system of a mobile robot. |
| Databáze: | OpenAIRE |
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