Trajectory Tracking between Josephson Junction and Classical Chaotic System via Iterative Learning Control
This article addresses trajectory tracking between two non-identical systems with chaotic properties. To study trajectory tracking, we used the Rossler chaotic and resistive-capacitive-inductance shunted Josephson junction (RCLs-JJ) model in a similar phase space. In order to achieve goal tracking,...
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doaj-4393b47e719049849ba5a217a96fd6082020-11-25T00:43:27ZengMDPI AGApplied Sciences2076-34172018-08-0188128510.3390/app8081285app8081285Trajectory Tracking between Josephson Junction and Classical Chaotic System via Iterative Learning ControlChun-Kai Cheng0Paul Chang-Po Chao1Institute of Electrical and Control Engineering, National Chiao Tung University, Hsinchu 300, TaiwanInstitute of Electrical and Control Engineering, National Chiao Tung University, Hsinchu 300, TaiwanThis article addresses trajectory tracking between two non-identical systems with chaotic properties. To study trajectory tracking, we used the Rossler chaotic and resistive-capacitive-inductance shunted Josephson junction (RCLs-JJ) model in a similar phase space. In order to achieve goal tracking, two stages were required to approximate target tracking. The first stage utilizes the active control technique to transfer the output signal from the RCLs-JJ system into a quasi-Rossler system. Next, the RCLs-JJ system employs the proposed iterative learning control scheme in which the control signals are from the drive system to trace the trajectory of the Rossler system. The numerical results demonstrate the validity of the proposed method and the tracking system is asymptotically stable.http://www.mdpi.com/2076-3417/8/8/1285trajectorychaosresistive–capacitive–inductance shunted Josephson Junction (RCLs-JJ)Iterative Learning Control (ILC) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chun-Kai Cheng Paul Chang-Po Chao |
spellingShingle |
Chun-Kai Cheng Paul Chang-Po Chao Trajectory Tracking between Josephson Junction and Classical Chaotic System via Iterative Learning Control Applied Sciences trajectory chaos resistive–capacitive–inductance shunted Josephson Junction (RCLs-JJ) Iterative Learning Control (ILC) |
author_facet |
Chun-Kai Cheng Paul Chang-Po Chao |
author_sort |
Chun-Kai Cheng |
title |
Trajectory Tracking between Josephson Junction and Classical Chaotic System via Iterative Learning Control |
title_short |
Trajectory Tracking between Josephson Junction and Classical Chaotic System via Iterative Learning Control |
title_full |
Trajectory Tracking between Josephson Junction and Classical Chaotic System via Iterative Learning Control |
title_fullStr |
Trajectory Tracking between Josephson Junction and Classical Chaotic System via Iterative Learning Control |
title_full_unstemmed |
Trajectory Tracking between Josephson Junction and Classical Chaotic System via Iterative Learning Control |
title_sort |
trajectory tracking between josephson junction and classical chaotic system via iterative learning control |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2018-08-01 |
description |
This article addresses trajectory tracking between two non-identical systems with chaotic properties. To study trajectory tracking, we used the Rossler chaotic and resistive-capacitive-inductance shunted Josephson junction (RCLs-JJ) model in a similar phase space. In order to achieve goal tracking, two stages were required to approximate target tracking. The first stage utilizes the active control technique to transfer the output signal from the RCLs-JJ system into a quasi-Rossler system. Next, the RCLs-JJ system employs the proposed iterative learning control scheme in which the control signals are from the drive system to trace the trajectory of the Rossler system. The numerical results demonstrate the validity of the proposed method and the tracking system is asymptotically stable. |
topic |
trajectory chaos resistive–capacitive–inductance shunted Josephson Junction (RCLs-JJ) Iterative Learning Control (ILC) |
url |
http://www.mdpi.com/2076-3417/8/8/1285 |
work_keys_str_mv |
AT chunkaicheng trajectorytrackingbetweenjosephsonjunctionandclassicalchaoticsystemviaiterativelearningcontrol AT paulchangpochao trajectorytrackingbetweenjosephsonjunctionandclassicalchaoticsystemviaiterativelearningcontrol |
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1725278322481430528 |