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

Cheng-Lin Liu, He Li and Liang Shan

International Journal of Systems Science, 2021, vol. 52, issue 13, 2725-2734

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.

Date: 2021
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DOI: 10.1080/00207721.2021.1898694

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