期刊论文详细信息
Applied Sciences | |
Parameter and State Estimation for Uncertain Nonlinear Systems by Adaptive Observer Based on Differential Evolution Algorithm | |
Xiaoliu Yang1  Zetao Li1  Boutaib Dahhou2  | |
[1] Electrical Engineering College, Guizhou University, Guiyang 550025, China;LAAS-CNRS, Universite´ de Toulouse, CNRS, INSA, UPS, 31400 Toulouse, France; | |
关键词: adaptive observer; nonlinear dynamic system; differential evolution algorithm; state and parameters estimation; | |
DOI : 10.3390/app10175857 | |
来源: DOAJ |
【 摘 要 】
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.
【 授权许可】
Unknown