Title :
Adaptive iterative learning control for a class of iteration-varying nonlinear systems with known periodicity
Author :
Chenkun, Yin ; Zhongsheng, Hou
Author_Institution :
Adv. Control Syst. Lab., Beijing Jiaotong Univ., Beijing, China
Abstract :
In this paper, a class of iteration-varying nonlinear system to track a non-repetitive desired trajectory is addressed using a new adaptive iterative learning control. The iteration-variance in parameter is described by a special kind of periodicity in iteration domain. The convergent result is elaborately proven using composite energy function.
Keywords :
adaptive control; iterative methods; learning systems; nonlinear control systems; adaptive iterative learning control; composite energy function; iteration varying nonlinear systems; iteration-variance; nonlinear continuous system; nonrepetitive desired trajectory tracking; periodicity; Adaptive control; Control systems; Electronic equipment testing; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Programmable control; Robotic assembly; Traffic control; Trajectory; composite energy function; iteration-varying; iterative learning control; periodicity;
Conference_Titel :
Test and Measurement, 2009. ICTM '09. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4699-5
DOI :
10.1109/ICTM.2009.5413010
