Open Access
2014 Multiple Model ILC for Continuous-Time Nonlinear Systems
Xiaoli Li, Kang Wang, Yang Li
Abstr. Appl. Anal. 2014: 1-11 (2014). DOI: 10.1155/2014/984742


Multiple model iterative learning control (MMILC) method is proposed to deal with the continuous-time nonlinear system with uncertain and iteration-varying parameters. In this kind of control strategy, multiple models are established to cover the uncertainty of system; a switching mechanism is used to decide the most appropriate model for system in current iteration. For system operating iteratively in a fixed time interval with uncertain or jumping parameters, this kind of MMILC can improve the transient response and control property greatly. Asymptotical convergence is demonstrated theoretically, and the control effectiveness is illustrated by numerical simulation.


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Xiaoli Li. Kang Wang. Yang Li. "Multiple Model ILC for Continuous-Time Nonlinear Systems." Abstr. Appl. Anal. 2014 1 - 11, 2014.


Published: 2014
First available in Project Euclid: 27 February 2015

zbMATH: 07023456
MathSciNet: MR3273922
Digital Object Identifier: 10.1155/2014/984742

Rights: Copyright © 2014 Hindawi

Vol.2014 • 2014
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