Title :
A PD-type open-closed-loop iterative learning control and its convergence for discrete systems
Author :
Yu, Shao-Juan ; Wu, Ju-hua ; Yan, Xue-Wen
Author_Institution :
Autom. Dept., Taiyuan Heavy Mach. Inst, China
Abstract :
A PD-type open-closed-loop iterative learning control (ILC) scheme for discrete systems of output equation without U is proposed. The sufficient and necessary conditions of convergence for the learning law are given. According to the algorithm, the D-type ILC is used in open-loop and the P-type ILC is used in closed-loop. We perform a proof by using the inductive method. Simulation results show that not only the conventional based D-type ILC control law but also the P-type ILC control law can be used in the system.
Keywords :
closed loop systems; control system synthesis; convergence; discrete systems; iterative methods; learning (artificial intelligence); two-term control; D-type ILC control law; P-type ILC control law; PD-type open-closed-loop iterative learning control scheme; convergence; discrete systems; inductive method; sufficient necessary conditions; Automatic control; Control systems; Convergence; Equations; Iterative algorithms; Iterative methods; Open loop systems; Predictive models; Sampling methods; State estimation;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1174418
