DocumentCode
189608
Title
Estimation and indirect adaptive control for nonlinearly parameterized systems
Author
Flores-Perez, A. ; Grave, Ileana ; Yu Tang
Author_Institution
Fac. de Ing., UNAM, Mexico City, Mexico
fYear
2014
fDate
24-27 June 2014
Firstpage
2078
Lastpage
2083
Abstract
Adaptive control and estimation of nonlinearly parameterized systems have been active areas of research due to the theoretical challenge and the wide variety of applications. Based on the recently developed contraction theory, this work formulates novel schemes of estimation and indirect adaptive control for nonlinearly parameterized systems. The developed algorithms were applied to two nonlinear models and verified by means of simulation.
Keywords
adaptive control; nonlinear control systems; parameter estimation; contraction theory; indirect adaptive control; nonlinear models; nonlinearly parameterized systems estimation; Adaptation models; Adaptive control; Estimation error; Trajectory; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 2014 European
Conference_Location
Strasbourg
Print_ISBN
978-3-9524269-1-3
Type
conf
DOI
10.1109/ECC.2014.6862600
Filename
6862600
Link To Document