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Stationary average-tracking problem of unmatched constant reference signals based on delayed-state feedback

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  • Cheng-Lin Liu
  • He Li
  • Liang Shan

Abstract

Stationary average-tracking problems of unmatched constant reference signals are investigated for first-order multi-agent systems, and an integral-type average-tracking algorithm with delayed-state feedback is constructed. With identical communication delays and different introduced self-delays, sufficient conditions are obtained for the agents converging to the average-value of unmatched reference signals asymptotically by using the frequency-domain analysis method. To our delight, introducing delayed-state feedback improves the robustness to communication delay and unmatched reference signals. Simulation results show the effectiveness of our proposed algorithm.

Suggested Citation

  • Cheng-Lin Liu & He Li & Liang Shan, 2021. "Stationary average-tracking problem of unmatched constant reference signals based on delayed-state feedback," International Journal of Systems Science, Taylor & Francis Journals, vol. 52(13), pages 2725-2734, October.
    • Handle: RePEc:taf:tsysxx:v:52:y:2021:i:13:p:2725-2734
    DOI: 10.1080/00207721.2021.1898694
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