@inproceedings{c8187c496e9144499318e3fbaf07c8f7,
title = "Chaotic synchronizing systems via Iterative Learning Control",
abstract = "This study presents an application of Iterative Learning Control Theory (ILC) for synchronization between two chaotic systems with output signal error. The iterative learning law illustrates the relationship between (i-1)-Th iterative error output of drive-response system and iterative (i-Th) input of response system. The error convergent describes the path response system tracking the trajectory of drive system. There also proposes principles to show system synchronized is Lyapunov stable and to explain the equivalent relation of error initial conditions. The numerical simulation demonstrates the results are agreement with the proposed learning law and scheme.",
keywords = "Chaos, Chaotic system, Iterative Learning Control (ILC), Synchronization",
author = "Cheng, {Chun Kai} and Chao, {Paul C.-P.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Applied System Innovation, ICASI 2017 ; Conference date: 13-05-2017 Through 17-05-2017",
year = "2017",
month = jul,
day = "21",
doi = "10.1109/ICASI.2017.7988452",
language = "English",
series = "Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "453--456",
editor = "Teen-Hang Meen and Lam, {Artde Donald Kin-Tak} and Prior, {Stephen D.}",
booktitle = "Proceedings of the 2017 IEEE International Conference on Applied System Innovation",
address = "美國",
}