TY - GEN
T1 - Monotonically convergent iterative learning control for uncertain time-delay systems
T2 - 2009 American Control Conference, ACC 2009
AU - Meng, Deyuan
AU - Jia, Yingmin
AU - Du, Junping
AU - Yu, Fashan
PY - 2009
Y1 - 2009
N2 - This paper deals with the robust iterative learning control (ILC) problem for time-delay systems (TDS) subject to matched parameter uncertainties. Based on two-dimensional (2-D) approach, a stability analysis of the ILC process is developed in the sense that the control error converges monotonically as a function of iteration. It shows that a sufficient condition for the ILC stability can be given in terms of linear matrix inequalities (LMIs), which derives learning gains directly. Simulation results show that the ILC system under a law using gains solved by the LMI approach is robustly stable and monotonically convergent.
AB - This paper deals with the robust iterative learning control (ILC) problem for time-delay systems (TDS) subject to matched parameter uncertainties. Based on two-dimensional (2-D) approach, a stability analysis of the ILC process is developed in the sense that the control error converges monotonically as a function of iteration. It shows that a sufficient condition for the ILC stability can be given in terms of linear matrix inequalities (LMIs), which derives learning gains directly. Simulation results show that the ILC system under a law using gains solved by the LMI approach is robustly stable and monotonically convergent.
UR - https://www.scopus.com/pages/publications/70449688257
U2 - 10.1109/ACC.2009.5160171
DO - 10.1109/ACC.2009.5160171
M3 - 会议稿件
AN - SCOPUS:70449688257
SN - 9781424445240
T3 - Proceedings of the American Control Conference
SP - 1622
EP - 1627
BT - 2009 American Control Conference, ACC 2009
Y2 - 10 June 2009 through 12 June 2009
ER -