Optimal distributed filtering for nonlinear saturated systems with random access protocol and missing measurements: the uncertain probabilities case

DOI10.1016/j.amc.2021.126844OpenAlexW4200207493MaRDI QIDQ2073119

Dongyan Chen, Jiaxing Li, Jun Hu, Yong-Gui Kao

Publication date: 27 January 2022

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2021.126844

zbMATH Keywords

distributed filteringmissing measurementsrandom access protocolstate-saturated stochastic systemsuncertain missing probabilities

Mathematics Subject Classification ID

Model systems in control theory (93Cxx) Stochastic systems and control (93Exx) Controllability, observability, and system structure (93Bxx)

Related Items (10)

Robust set-membership filtering for two-dimensional systems with sensor saturation under the Round-Robin protocol ⋮ Distributed resilient fusion filtering for nonlinear systems with random sensor delay under round-robin protocol ⋮ Finite‐time fault detection for nonlinear delayed system with dynamic quantization and multiple packet dropouts ⋮ Finite‐time fault detection for discrete nonlinear systems with time‐varying delays under the dynamic event‐triggered mechanism ⋮ H_∞ state-feedback control for saturated 2-D Roesser systems: the event-triggered case ⋮ Distributed recursive filtering for multi-rate uniform sampling systems with packet losses in sensor networks ⋮ Event-triggered finite-time fault detection for delayed networked systems with conic-type nonlinearity and deception attacks ⋮ Fusion filtering for rectangular descriptor systems with stochastic bias and random observation delays under weighted try-once-discard protocol ⋮ Forward modeling and inverse estimation for nonlinear filtering ⋮ Distributed resilient fusion filtering for nonlinear systems with multiple missing measurements via dynamic event-triggered mechanism

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