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
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;
Conference_Titel :
Control Conference (ECC), 2014 European
Conference_Location :
Strasbourg
Print_ISBN :
978-3-9524269-1-3
DOI :
10.1109/ECC.2014.6862600
