Parameter matching using adaptive synchronization of two Chua's oscillators: MATLAB and SPICE simulations. 7th International Conference on Chaotic Modeling and Simulation, CHAOS 2014

Valentin Siderskiy, Vikram Kapila

Research output: Contribution to conferencePaper

Abstract

In this paper, we use an adaptive synchronization technique for parameter matching with chaotic persistent excitation (PE). Two Chua's oscillators, identical in every parameter except for one, are set up in a master/slave configuration where the slave's mismatched parameter is adaptable. Using a Lyapunov function and incorporating the presence of PE, an adaptive control law is given to ensure exact parameter matching. A high-fidelity SPICE simulation model is given that incorporates commercially-provided macro models of the integrated circuits used and obviates the need for any user-defined functions. A voltage controlled inductor-gyrator is used as a tunable parameter made up of current feedback op amps (CFOAs). The performance of the adaptive controller is compared over a wide range of parameter values by using MATLAB simulations. SPICE and MATLAB simulations are run with realistic component tolerances to mimic a physical experiment.

Original languageEnglish (US)
Pages459-470
Number of pages12
StatePublished - Jan 1 2019
Event7th International Conference on Chaotic Modeling and Simulation, CHAOS 2014 - Lisbon, Portugal
Duration: Jun 7 2014Jun 10 2014

Conference

Conference7th International Conference on Chaotic Modeling and Simulation, CHAOS 2014
CountryPortugal
CityLisbon
Period6/7/146/10/14

Keywords

  • Adaptive synchronization
  • CFOA
  • Chaotic simulation
  • Chua's oscillator
  • Inductor-gyrator
  • MATLAB
  • Parameter matching
  • SPICE
  • TINA-TI

ASJC Scopus subject areas

  • Modeling and Simulation

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  • Cite this

    Siderskiy, V., & Kapila, V. (2019). Parameter matching using adaptive synchronization of two Chua's oscillators: MATLAB and SPICE simulations. 7th International Conference on Chaotic Modeling and Simulation, CHAOS 2014. 459-470. Paper presented at 7th International Conference on Chaotic Modeling and Simulation, CHAOS 2014, Lisbon, Portugal.