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Communication Dans Un Congrès Année : 2022

A new sampled-data observer design for bioreactors

Résumé

In this paper, an inter-sampled observer-predictor is designed for a class of system which is characterized by sampled data measurements. The main drawback of numerous approaches lead to small or limited sampled time period, which is an important point in industrial processes. To overcome this difficulty, we propose a modified inter-sampled observer-predictor which ensures an exponential convergence and gives the ability to push the sampled time period to its limit. Comparing to other observer structures, our design is characterized by its simplicity because we only need a tuning gain. Our main contribution is to show that our modified observer allows to widen the sampling period as much as possible, while guaranteeing the exponential convergence of our observer. The effectiveness of our proposed approach is shown through numerical simulations which have been performed on a well-known bioreactor example.
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Dates et versions

hal-04138729 , version 1 (23-06-2023)

Identifiants

Citer

Eric Magarotto, T. Ahmed-Ali, M. Haddad. A new sampled-data observer design for bioreactors. 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), May 2022, Istanbul, Turkey. pp.402-406, ⟨10.1109/CoDIT55151.2022.9804131⟩. ⟨hal-04138729⟩
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