Event-triggered filtering and fault estimation for nonlinear systems with stochastic sensor saturations

DOI10.1080/00207179.2016.1199916zbMath1367.93651OpenAlexW2440908696MaRDI QIDQ5280308

Xiao He, Zidong Wang, Yang Liu, Dong Hua Zhou

Publication date: 20 July 2017

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: http://bura.brunel.ac.uk/handle/2438/13614

zbMATH Keywords

nonlinear systemsKalman filteringfault estimationsensor saturationevent-triggered transmissionerror boundedness

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Discrete event control/observation systems (93C65)

Related Items (9)

Event-based weighted residual generator design via non-PDC scheme for fault diagnosis in T-S fuzzy systems ⋮ Dynamic event-triggered actuator fault estimation and accommodation for dynamical systems ⋮ Event-based joint state and fault estimation: the envelope-constrained \(H_\infty\) criterion ⋮ Event-based state and fault estimation for nonlinear systems with logarithmic quantization and missing measurements ⋮ An overview of recent advances in model-based event-triggered fault detection and estimation ⋮ Distributed resilient fusion filtering for nonlinear systems with multiple missing measurements via dynamic event-triggered mechanism ⋮ Event-based mixed ℋ_∞ and passive filtering for discrete singular stochastic systems ⋮ Detection of intermittent faults for nonuniformly sampled multi-rate systems with dynamic quantisation and missing measurements ⋮ Integrated fault-tolerant control approach for linear time-delay systems using a dynamic event-triggered mechanism

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