DocumentCode
2592056
Title
Parameter convergence problems in model reference adaptive control
Author
Lilly, John H.
Author_Institution
Dept. of Electr. Eng., Louisville Univ., KY, USA
fYear
1995
fDate
12-14 Mar 1995
Firstpage
480
Lastpage
484
Abstract
The convergence of control parameters in a well-known model reference adaptive controller is explored via computer simulation. It is found that, despite persistent excitation of the reference input, the parameter vector does not always converge to the ideal value. This can negatively affect robustness of these controllers to unmodeled dynamics
Keywords
control system analysis computing; convergence; digital simulation; model reference adaptive control systems; programmable controllers; computer simulation; control parameter convergence problems; controllers; ideal value; model reference adaptive control; parameter vector; persistent excitation; reference input; robustness; unmodeled dynamics; Adaptive control; Computational modeling; Computer simulation; Convergence; Frequency; Polynomials; Programmable control; Robust control; Steady-state; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1995., Proceedings of the Twenty-Seventh Southeastern Symposium on
Conference_Location
Starkville, MS
ISSN
0094-2898
Print_ISBN
0-8186-6985-3
Type
conf
DOI
10.1109/SSST.1995.390535
Filename
390535
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