Robust-Adaptive synchronization of drive and response systems using coupled chaotic adaptive synchronous observers

Muhammad Siddique, Muntazir Hussain, Muhammad Rehan, Muhammad Majid Hussain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, robust-adaptive control methodology is developed by augmenting the a-modification as well as the use of filters with already established control scheme based on nonlinear and adaptive coupled chaotic adaptive Synchronous observers for synchronization of the nonlinear drive and response systems, by the same authors. The purpose of this amendment is to develop an adaptive control scheme capable of synchronizing two nonlinear systems even impelled by the disturbances and noises. The effect of disturbances and effect of noise reduces the efficacy of previously proposed control methodology. The a-modification facilitates the adaptation of unknown parameters with bounds in the divergence of their values and thus enhances the robustness in adaptive control scheme. Along with the disturbance rejection by a-modification, the effect of noise in output measurement is catered by the use of low pass filters. The authenticity of proposed amendments is validated by simulation of synchronization of FitzHugh-Nagumo neural drive and response system under the effect of disturbances and noise.

Original languageEnglish
Title of host publication2017 IEEE Conference on Systems, Process and Control (ICSPC)
PublisherIEEE
Pages24-29
Number of pages6
ISBN (Electronic)9781538603864
DOIs
Publication statusPublished - 12 Mar 2018
Event2017 IEEE Conference on Systems, Process and Control - Melaka, Malaysia
Duration: 15 Dec 201716 Dec 2017

Conference

Conference2017 IEEE Conference on Systems, Process and Control
Abbreviated titleICSPC 2017
Country/TerritoryMalaysia
CityMelaka
Period15/12/1716/12/17

Keywords

  • a-modification
  • FitzHugh-Nagumo chaotic systems
  • Noise filtering
  • Robust-adaptive control
  • Synchronization

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization

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