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Communication Dans Un Congrès Année : 2010

A combined closed loop optimal design of experiments and online identification control approach

Résumé

The main contribution of this paper is to propose a new approach, based on any specified model, for the optimal closed loop control of a process, for the online identification of a given model parameter. It deals with the optimal design design of experiments: the idea is to twofold: first, based on a sensitivity models based predictive control, find the value of the input to apply during the experiment that allows optimizing a criteria based on the sensitivity of the process measure with respect to the unknown model parameter. Secondly, in the meantime, based on the input/output measures collected, a process model and an observer, estimate online the model parameter. Moreover, constraints dealing with input, state and output limitations are accounted for. The main advantage of this approach is that both optimal control problem and identification task are solved together online in order to get the online estimation of the unknown model parameter. This approach is applied here on a simple case in chemical engineering
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Dates et versions

hal-00469590 , version 1 (25-08-2010)

Identifiants

  • HAL Id : hal-00469590 , version 1

Citer

Saida Flila, Pascal Dufour, Hassan Hammouri, Madiha Nadri. A combined closed loop optimal design of experiments and online identification control approach. IEEE Chinese Control Conference (CCC) 2010, Jul 2010, Beijing, China. paper 194, pp.1178-1183. ⟨hal-00469590⟩
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