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Distributed Robust Fault Estimation for Multiagent Systems Based on Transition Variable Estimator
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AI
DOI：10.1109/TCYB.2023.3241406.png)
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摘要
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This article investigates the distributed robust fault estimation for a class of multiagent systems with actuator faults and nonlinear uncertainties. To estimate the actuator faults and system states simultaneously, a novel transition variable estimator is constructed. Compared with existing similar results, the fault estimator existing condition is not necessary for designing the transition variable estimator. Furthermore, the bounds of the faults and their derivatives can be unknown in designing the estimator for each agent in the system. The parameters of the estimator are calculated by using Schur decomposition and linear matrix inequality algorithm. Finally, the performance of the proposed method is demonstrated through experiments of wheeled mobile robots.
Keyword:
Estimation
Quadrotors
Observers
Mobile robots
Actuators
Robot sensing systems
Multi-agent systems
Distributed estimator
fault estimation
multiagent systems (MASs)
transition variable
期刊
IF:
10.5
论文数:
1.1W
被引数:
5.0W
机构
引用论文
Online Probabilistic Estimation of Sensor Faulty Signal in Industrial Processes and Its Applications
PREAI
分享收藏分享收藏分享收藏分享收藏Distributed Fault Estimation for Time-Varying Multi-Agent Systems With Sensor Faults and Partially Decoupled Disturbances.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
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