Distributed state and fault estimation over sensor networks with probabilistic quantizations: the dynamic event-triggered case
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Publication:2665421
DOI10.1016/j.automatica.2021.109784zbMath1478.93681OpenAlexW3176545736MaRDI QIDQ2665421
Weiguo Sheng, Zidong Wang, Jun Hu, Qi Li
Publication date: 19 November 2021
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2021.109784
sensor networksdistributed estimationstate and fault estimationdynamic event-triggered mechanismsprobabilistic quantizations
Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Discrete event control/observation systems (93C65)
Related Items (6)
An overview of recent advances in model-based event-triggered fault detection and estimation ⋮ Outlier-resistant sequential filtering fusion for cyber-physical systems with quantized measurements under denial-of-service attacks ⋮ Dynamic‐event‐based state estimation of complex networks against attacks and innovation outliers: The probability constraint case ⋮ Adaptive event-triggered dynamic distributed control of switched positive systems with switching faults ⋮ Distributed recursive filtering for time-varying systems with dynamic bias over sensor networks: tackling packet disorders ⋮ Resource-efficient and secure distributed state estimation over wireless sensor networks: a survey
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