DocumentCode
335277
Title
A discrete-time learning control algorithm
Author
Saab, Sammer S.
Author_Institution
Union Switch & Signal, Pittsburgh, PA, USA
Volume
1
fYear
1994
fDate
29 June-1 July 1994
Firstpage
749
Abstract
A discretized version of the D-type learning control algorithm is presented for a MIMO linear discrete-time system. Necessary and sufficient conditions for uniform convergence of the proposed learning algorithm is presented. Then, the author proves that the same condition is sufficient for the global robustness of the proposed learning algorithm to state disturbances, measurement noise at the output and reinitialization error are present at each iteration.
Keywords
MIMO systems; convergence; discrete time systems; learning systems; linear systems; robust control; D-type learning control algorithm; MIMO linear discrete-time system; discrete-time learning control algorithm; global robustness; measurement noise; necessary and sufficient conditions; reinitialization error; state disturbances; uniform convergence; Control systems; Convergence; Iterative algorithms; Noise measurement; Noise robustness; Nonlinear control systems; Robots; Robust control; Sufficient conditions; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1994
Print_ISBN
0-7803-1783-1
Type
conf
DOI
10.1109/ACC.1994.751841
Filename
751841
Link To Document