Title :
Universal adaptive iterative learning control
Author :
Owens, David H. ; Munde, G.S.
Author_Institution :
Sch. of Eng. & Comput. Sci., Exeter Univ., UK
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;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.760618
