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Consensus of networked nonlinear systems based on the distributed stochastic approximation algorithm
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DOI：10.1016/j.automatica.2024.111647.png)
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摘要
En 中文
Consensus of networked nonlinear nonparametric time-varying systems is studied, and the nonlinearity at input may possess arbitrary growth rate. In addition, the communication noise is also under consideration. The purely distributed control algorithm is designed on the basis of distributed stochastic approximation algorithm with expanding truncations (DSAAWET). The truncation mechanism neutralizes the divergent tendency caused by unknown nonlinearities and noises, which makes the algorithm well tackle more general nonlinearities with high growth rate and more complicated structure noises. We first prove the average consensus over fixed digraph, and then extend the results to averagely connected time-varying digraphs. Finally, the validity of the algorithm is justified by numerical simulations.
Keyword:
Consensus
Multi-agent system
Time-varying system
Nonlinear system
Stochastic approximation
期刊
IF:
5.9
论文数:
1.2W
被引数:
5.2W
机构
引用论文
分享收藏Tracking Control for Nonlinear Nonparametric Systems Based on the Stochastic Approximation Algorithm
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AUTOMATICA
OAAI
AUTOMATICAIF5.9
OAAI分享收藏
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