Title :
No-reset iterative learning control
Author :
Sison, Luis G. ; Chong, Edwin K P
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
In this paper, we study the repetitive control of discrete-time linear periodically time-varying (LPTV) plants using a no-reset iterative learning control (NRILC) system, which is an iterative learning control (ILC) system where the plant is not reset at the beginning of each iteration. We apply this scheme to discrete-time LTI SISO plants; the approach can be extended to LPTV and MIMO plants. Using results from output feedback theory, we show that the closed-loop eigenvalues of the system can almost always be placed with the selection of an appropriate finite learning gain
Keywords :
closed loop systems; discrete time systems; eigenvalues and eigenfunctions; feedback; iterative methods; learning systems; linear systems; time-varying systems; SISO systems; closed-loop eigenvalues; discrete-time systems; finite learning gain; iterative learning control; linear time invariant systems; output feedback; periodically time-varying systems; repetitive control; Control systems; Eigenvalues and eigenfunctions; Equations; Feedback loop; Heuristic algorithms; MIMO; Output feedback; Radio control; Time varying systems; Trajectory;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.573592
