Consensus of networked nonlinear systems based on the distributed stochastic approximation algorithm

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 stochast...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Automatica (Oxford) Ročník 165; s. 111647
Hlavní autoři:	Feng, Wenhui, Wang, Liying
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.07.2024
Témata:	Consensus Multi-agent system Nonlinear system Stochastic approximation Time-varying system Stochastic approximation Multi-agent system Nonlinear system Consensus Time-varying system
ISSN:	0005-1098, 1873-2836
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	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.
ISSN:	0005-1098 1873-2836
DOI:	10.1016/j.automatica.2024.111647