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Parameter and State Estimation for Uncertain Nonlinear Systems by Adaptive Observer Based on Differential Evolution Algorithm

Xiaoliu Yang 1 Zetao Li 1 Boutaib Dahhou 2
2 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite
LAAS - Laboratoire d'analyse et d'architecture des systèmes
Abstract : This paper puts forward a new adaptive observer scheme for joint estimation of state and multi-parameters for nonlinear dynamic systems. The adaptive observer uses chaos differential evolution algorithm to improve global optimality of estimation in the case of multi-parameter and system nonlinearity. Slide time window is used to realize real-time estimation. The simulation result shows the effectiveness of the adaptive observer.
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https://hal.laas.fr/hal-02943937
Contributor : Boutaib Dahhou <>
Submitted on : Monday, September 21, 2020 - 9:21:25 AM
Last modification on : Thursday, June 10, 2021 - 3:06:55 AM

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Xiaoliu Yang, Zetao Li, Boutaib Dahhou. Parameter and State Estimation for Uncertain Nonlinear Systems by Adaptive Observer Based on Differential Evolution Algorithm. Applied Sciences, MDPI, 2020, 10 (17), pp.5857. ⟨10.3390/app10175857⟩. ⟨hal-02943937⟩

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