Title :
A generalized fractional-order iterative learning control
Author :
Li, Yan ; Chen, YangQuan ; Ahn, Hyo-Sung
Author_Institution :
School of Control Science and Engineering, Shandong University, Jinan 250061, China
Abstract :
In this paper, we discuss in time domain the convergence of the iterative process for fractional-order nonlinear systems. A linear adaptive generalized fractional-order iterative learning control scheme is derived, which guarantees the convergence of the algorithm without the knowledge of the system order. The implementation of generalized fractional-order iterative learning controllers can be achieved by using the idea of fractional-order element networks. Most of the classical fractional-order iterative learning control methods fall into the scheme of this paper. A number of numerical simulations are illustrated to validate the concepts.
Keywords :
Convergence; Educational institutions; Equations; Fractional calculus; Laplace equations; Nonlinear systems; Vectors; Adaptiveness; Convergence; Fractional calculus; Iterative learning control; Nonlinear systems;
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2011.6160680