Stationary average-tracking problem of unmatched constant reference signals based on delayed-state feedback. Issue 13 (3rd October 2021)

• Record Type: Journal Article
• Authors: Liu, Cheng-Lin; Li, He; Shan, Liang
• Is Part Of: International journal of systems science. Volume 52:Issue 13(2021)
• Page Start: 2725
• Page End: 2734
• Publication Date: 2021-10-03
• Subjects: Unmatched reference signals -- stationary average-consensus tracking -- first-order multi-agent systems -- communication delay -- delayed-state feedback -- different self-delays; System analysis -- Periodicals; 003.3
• DOI: 10.1080/00207721.2021.1898694
• Languages: English
• ISSNs: 0020-7721

Abstract

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.