Consensus Control of the Multi-Agent Systems under both Disturbances and Noises

Authors

  • Fuchen Zhang
  • Da Lin

DOI:

https://doi.org/10.12150/jnma.2024.602

Keywords:

Multi-agent systems, consensus, numerical simulations.

Abstract

Consensus tracking control problem of the multi-agent systems with both noise and disturbances is studied in this paper. A robust adaptive control scheme is designed according to Lyapunov stability theory. The main contribution of this paper is that the consensus is realized in multi-agent systems with both noise and external disturbances. Numerical simulations are carried out for the proposed scheme to demonstrate the effectiveness of the control strategy proposed in this paper.

Published

2024-08-29

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Section

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How to Cite

Consensus Control of the Multi-Agent Systems under both Disturbances and Noises. (2024). Journal of Nonlinear Modeling and Analysis, 6(3), 602-611. https://doi.org/10.12150/jnma.2024.602