DocumentCode
337605
Title
Universal adaptive iterative learning control
Author
Owens, David H. ; Munde, G.S.
Author_Institution
Sch. of Eng. & Comput. Sci., Exeter Univ., UK
Volume
1
fYear
1998
fDate
1998
Firstpage
181
Abstract
This paper provides convergence/stability criteria for universal adaptive high-gain iterative learning control systems based on the use of the current trial feedback for a class of linear MIMO state space systems. Weak and strong (norm) convergence of the tracking error sequences {ek}k⩾0 to zero in L2m(0,T) is analysed. This perfect tracking is is also achieved with convergence of the adaptive control Kk to a limit gain K∞ guaranteed in the proposed gain-update laws
Keywords
MIMO systems; adaptive control; convergence; feedback; learning systems; linear systems; stability criteria; state-space methods; tracking; MIMO systems; adaptive control; convergence; feedback; iterative learning control; linear systems; stabilisation; stability criteria; state space; Adaptive control; Control engineering; Control systems; Convergence; Iterative algorithms; MIMO; Programmable control; Proportional control; State-space methods; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location
Tampa, FL
ISSN
0191-2216
Print_ISBN
0-7803-4394-8
Type
conf
DOI
10.1109/CDC.1998.760618
Filename
760618
Link To Document