Design of Asymptotic Observers to Estimate Parameters of Systems That Are Not Asymptotically Identifiable

Alain Rapaport;Dochain, Denis
(2023) IFAC World Congress — Location: Yokohama (9.July.2023)

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Authors
  • Alain Rapaport
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  • Dochain, Denisorcid-logoUCLouvain
    Author
Abstract
We propose the derivation of asymptotic observers for the estimation of parameters of systems whose solutions converge to a set of steady-states that are not identi able, under some hypotheses. The proposed observer generalizes a former work for batch bioprocess. It is illustrated on a two dimensional models, and its performance is compared with the least squares method.
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Alain Rapaport, & Dochain, D. (2023). Design of Asymptotic Observers to Estimate Parameters of Systems That Are Not Asymptotically Identifiable. Published. IFAC World Congress, Yokohama. https://hdl.handle.net/2078.5/218180