Title :
Frequency domain analysis and design of an iterative learning controller under modeling uncertainties
Author :
Roh, Cheol Lae ; Chung, Myung Jin
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea
Abstract :
In this note, we study a design method of an iterative learning controller under modeling uncertainties. A new convergence condition of the iterative learning controller is obtained by strictly positive real (SPR) property. And by incorporating the robust SPR property, the robust convergence condition is derived. An efficient design method guaranteeing the robust convergence is proposed for an uncertain linear system having the structured uncertainty
Keywords :
control system analysis; control system synthesis; frequency-domain analysis; frequency-domain synthesis; iterative methods; learning systems; stability; transfer functions; uncertain systems; efficient design method; frequency-domain analysis; frequency-domain design; iterative learning controller; modeling uncertainties; robust SPR property; robust convergence condition; strictly positive real property; structured uncertainty; uncertain linear system; Convergence; Design methodology; Error correction; Filters; Frequency domain analysis; Iterative methods; Robust control; Robustness; Transfer functions; Uncertainty;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.529288