Title :
LTR performance of receding horizon control with FIR filter
Author :
Yoo, Kyung-Sang ; Kwon, Oh-Kyu ; Kwon, Wook-Hyun
Author_Institution :
Dept. of Electr. Eng., Doowon Tech. Coll., Ansung, South Korea
Abstract :
In this paper the LTR (loop transfer recovery) properties of the RHC/FIRF (receding horizon control with FIR filter) law, which stabilizes stochastic linear time-varying systems with model uncertainty, are analyzed. It is shown by the frequency domain analysis that the RHC (receding horizon control) is robuster than the LQ control. The explicit LTR procedure is adopted to improve the performance robustness of the RHC/FIRF law. Using the mismatch function technique proposed by Chen et al. (1991), the LTR approach is presented, which makes the RHC/FIRF controller recover the feedback properties of the RHC law. Also, via simulation, the LTR performance of the RHC/FIRF law is compared with conventional LTR methods
Keywords :
FIR filters; filtering theory; frequency-domain analysis; stability; stochastic systems; FIR filter; LTR performance; RHC/FIRF law; frequency-domain analysis; loop transfer recovery; mismatch function technique; model uncertainty; performance robustness; receding horizon control; stochastic linear time-varying system stabilization; Cost function; Educational institutions; Finite impulse response filter; Frequency domain analysis; Riccati equations; Robust control; Robust stability; Robustness; Time varying systems; Transfer functions;
Conference_Titel :
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location :
Lake Buena Vista, FL
Print_ISBN :
0-7803-1968-0
DOI :
10.1109/CDC.1994.411093
