Designing robust distributed average tracking (DAT) algorithms for multi-reference-signals produced by lipschitz-type dynamics

This article designs a DAT algorithm for multi-reference-signals produced by multiple Lipschitz-type dynamics. There is a nonlinear term in the reference signals' dynamics which satisfies the Lipschitz-type condition. Based on state-dependent-gain designing approaches, a class of robust distrib...

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Bibliographic Details
Published inIWCSN 2017 : the 14th International Workshop on Complex Systems and Networks : December 8-10, 2017, Doha, Qatar pp. 296 - 300
Main Authors Yu Zhao, Yongfang Liu, Guanghui Wen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2017
Subjects
Algorithm design and analysis
DAT algorithm
Eigenvalues and eigenfunctions
Electronic mail
Heuristic algorithms
Lipschitz-type nonlinear
multi-agent system
Multi-agent systems
Nonlinear dynamical systems
robust to initial
Robustness
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DOI10.1109/IWCSN.2017.8276542

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Summary:This article designs a DAT algorithm for multi-reference-signals produced by multiple Lipschitz-type dynamics. There is a nonlinear term in the reference signals' dynamics which satisfies the Lipschitz-type condition. Based on state-dependent-gain designing approaches, a class of robust distributed average tracking algorithm is designed without requiring the same initial condition. The agent can track the AVG of the multi-reference-signals. A numerical simulation is shown finally.
DOI:10.1109/IWCSN.2017.8276542