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Article Dans Une Revue International Journal of Systems Science Année : 2014

Input-output identification of controlled discrete manufacturing ystems

Résumé

The automated construction of discrete event models from observations of external system's behaviour is addressed. This problem, often referred to as system identification, allows obtaining models of ill-known (or even unknown) systems. In this article an identification method for Discrete Event Systems (DESs) controlled by a Programmable Logic Controller is presented. The method allows processing a large quantity of observed long sequences of input/output signals generated by the controller and yields an interpreted Petri net model describing the closed-loop behaviour of the automated DESs. The proposed technique allows the identification of actual complex systems because it is sufficiently efficient and well adapted to cope with both the technological characteristics of industrial controllers and data collection requirements. Based on polynomial-time algorithms, the method is implemented as an efficient software tool which constructs and draws the model automatically; an overview of this tool is given through a case study dealing with an automated manufacturing system.
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Dates et versions

hal-00954589 , version 1 (03-03-2014)

Identifiants

  • HAL Id : hal-00954589 , version 1

Citer

Ana Paula Estrada Vargas, Ernesto López-Mellado, Jean-Jacques Lesage. Input-output identification of controlled discrete manufacturing ystems. International Journal of Systems Science, 2014, 45 (3), pp. 456-471. ⟨hal-00954589⟩
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