A Cooperative Fault Detection Approach for Stochastic Multi-Agent Systems Using Maximum Likelihood Estimation Method

This study addresses the fault detection problem in multi-agent systems (MASs) with additive faults and stochastic uncertainties. The main focus is on enhancing the fault detection capability of each agent through a cooperative fault detection scheme, fostering cooperation between agents in two scen...

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Vydáno v:	Journal of systems science and complexity Ročník 37; číslo 6; s. 2451 - 2465
Hlavní autoři:	Yang, Chen, Li, Yan, Chen, Qijun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2024 Springer Nature B.V
Témata:	Algorithms Complex Systems Control Cooperation Euclidean space Fault detection Kalman filters Mathematics Mathematics and Statistics Mathematics of Computing Maximum likelihood estimation Multiagent systems Operations Research/Decision Theory Probabilistic models Statistics Systems Theory Uncertainty maximum likelihood estimation multi-agent systems Cooperative fault detection
ISSN:	1009-6124, 1559-7067
On-line přístup:	Získat plný text
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