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Adaptive Consensus of Multiagent Systems With Unknown High-Frequency Gain Signs Under Directed Graphs.
- Source :
-
IEEE Transactions on Systems, Man & Cybernetics. Systems . Jun2020, Vol. 50 Issue 6, p2181-2186. 6p. - Publication Year :
- 2020
-
Abstract
- This paper solves the adaptive consensus problem for first-order linearly parameterized agents with completely nonidentical unknown high-frequency gain signs under directed graphs. A new class of Nussbaum-type function-based algorithms are proposed to handle the unknown high-frequency gain signs adaptively and cooperatively. It is shown that if the underlying topology is a fixed graph with strongly connected or switching topologies having a jointly strongly connected basis, the first-order linearly parameterized agents with nonidentical unknown high-frequency gain signs can achieve asymptotic consensus. Finally, the effectiveness of proposed algorithms are verified by one simulation example. [ABSTRACT FROM AUTHOR]
- Subjects :
- *DIRECTED graphs
*MULTIAGENT systems
Subjects
Details
- Language :
- English
- ISSN :
- 21682216
- Volume :
- 50
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Systems, Man & Cybernetics. Systems
- Publication Type :
- Academic Journal
- Accession number :
- 143315049
- Full Text :
- https://doi.org/10.1109/TSMC.2018.2810089