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• W2898893910 abstract "This paper studies the distributed average tracking (DAT) problem for multiple reference signals described by the second-order nonlinear dynamical systems. Leveraging the state-dependent gain design and the adaptive control approaches, a couple of DAT algorithms are developed in this paper, which are named finite-time and adaptive-gain DAT algorithms. Based on the finite-time one, the states of the physical agents in this paper can track the average of the time-varying reference signals within a finite settling time. Furthermore, the finite settling time is also estimated by considering a well-designed Lyapunov function in this paper. Compared with asymptotical DAT algorithms, the proposed finite-time algorithm not only solve finite-time DAT problems but also ensure states of physical agents to achieve an accurate average of the multiple signals. Then, an adaptive-gain DAT algorithm is designed. Based on the adaptive-gain one, the DAT problem is solved without global information. Thus, it is fully distributed. Finally, numerical simulations show the effectiveness of the theoretical results." @default.
• W2898893910 created "2018-11-09" @default.
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• W2898893910 date "2019-06-01" @default.
• W2898893910 modified "2023-10-17" @default.
• W2898893910 title "Finite-Time Distributed Average Tracking for Second-Order Nonlinear Systems" @default.
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• W2898893910 doi "https://doi.org/10.1109/tnnls.2018.2873676" @default.
• W2898893910 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30371392" @default.
• W2898893910 hasPublicationYear "2019" @default.
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