DocumentCode
2459937
Title
Robust adaptive optimal control modification with large adaptive gain
Author
Nguyen, Nhan T. ; Ishihara, Abraham K.
Author_Institution
Ames Res. Center, Intell. Syst. Div., NASA, Moffett Field, CA, USA
fYear
2009
fDate
10-12 June 2009
Firstpage
2581
Lastpage
2586
Abstract
A new adaptive control modification is presented that can achieve robust adaptation with a large adaptive gain without incurring high-frequency oscillations as with the standard model-reference adaptive control. The modification is based on an optimal control formulation that minimizes the L2 norm of the tracking error. The optimality condition is used to derive the modification using the gradient method. The adaptive optimal control modification results in a stable adaptation and allows a large adaptive gain to be used for better tracking performance with improved stability robustness. Simulations demonstrate the effectiveness of the proposed modification.
Keywords
gradient methods; minimisation; model reference adaptive control systems; optimal control; robust control; L2 norm minimization; adaptive gain; gradient method; optimal control formulation; robust adaptive optimal control modification; standard model reference adaptive control; tracking error; Adaptive control; Approximation error; Error correction; Neural networks; Optimal control; Performance gain; Programmable control; Robust control; Robust stability; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2009. ACC '09.
Conference_Location
St. Louis, MO
ISSN
0743-1619
Print_ISBN
978-1-4244-4523-3
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2009.5159904
Filename
5159904
Link To Document