Title :
Iterative learning control for stochastic point-to-point tracking system
Author :
Dong Shen ; Youqing Wang
Author_Institution :
Coll. of Inf. Sci. & Technol., Beijing Univ. of Chem. Technol., Beijing, China
Abstract :
In this paper, an iterative learning control (ILC) algorithm with iteration varying gain is proposed for stochastic point-to-point tracking systems. The general formulation of point-to-point control problem and an associated performance index are given. The almost sure convergence of the given recursive algorithm is strictly proved in term of a modified tracking error. An illustrative example shows the effectiveness of the proposed approach.
Keywords :
iterative methods; learning systems; stochastic systems; ILC; associated performance index; iteration varying gain; iterative learning control algorithm; modified tracking error; point-to-point control problem; recursive algorithm; stochastic point-to-point tracking system; Convergence; Noise; Performance analysis; Standards; Stochastic systems; Trajectory; Vectors; Iterative Learning Control (ILC); Linear Stochastic Systems; Point-to-Point Control;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
DOI :
10.1109/ICARCV.2012.6485206
