Trajectory tracking between Josephson junction and classical chaotic system via iterative learning control

Chun Kai Cheng, Chang-Po Chao*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish
Article number1285
JournalApplied Sciences (Switzerland)
Volume8
Issue number8
DOIs
StatePublished - 1 Aug 2018

Keywords

  • Chaos
  • Iterative Learning Control (ILC)
  • Resistive-capacitive-inductance shunted Josephson Junction (RCLs-JJ)
  • Trajectory

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