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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Veröffentlicht in:	Journal of systems science and complexity Jg. 37; H. 6; S. 2451 - 2465
Hauptverfasser:	Yang, Chen, Li, Yan, Chen, Qijun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2024 Springer Nature B.V
Schlagworte:	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
Online-Zugang:	Volltext
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