.png){kind=icon}
Return
Parameter estimation for an input nonlinear state space system with time delay
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jfranklin.2014.08.018.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper researches parameter estimation problems for an input nonlinear system with state time-delay. Combining the linear transformation and the property of the shift operator, the system is transformed into a bilinear parameter identification model. A gradient based and a least squares based iterative parameter estimation algorithms are presented for identifying the state time-delay system. The simulation results confirm that the proposed two algorithms are effective and the least squares based iterative algorithm has faster convergence rates than the gradient based iterative algorithm. (C) 2014 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Keywords:
LEAST-SQUARES ALGORITHM
ITERATIVE ESTIMATION
IDENTIFICATION
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
J
IF:
3.7
Papers:
6.4K
Citations:
1.5W
Organization
Cited Papers
ShareSaveShareSaveFurther result on reachable set bounding for linear uncertain polytopic systems with interval time-varying delays.png)
AUTOMATICA
AUTOMATICAIF5.9
PREAI
ShareSave
ShareSaveShareSave
View more