Article Dans Une Revue Applied Sciences Année : 2020

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

Résumé

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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Dates et versions

hal-03618644 , version 1 (24-03-2022)

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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, 2020, 10 (17), pp.5857. ⟨10.3390/app10175857⟩. ⟨hal-03618644⟩
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