Event-based robust state estimator for linear time-varying system with uncertain observations and randomly occurring uncertainties

DOI10.1016/j.jfranklin.2016.11.023zbMath1355.93122OpenAlexW2558517862MaRDI QIDQ508346

Shaoying Wang, Huajing Fang, Xuegang Tian

Publication date: 10 February 2017

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2016.11.023

zbMATH Keywords

Bernoulli distributionuncertain observationsrandomly occurring uncertaintiesdiscrete Riccati difference equationsdiscrete time-varying systemevent-based robust state estimation

Mathematics Subject Classification ID

Control/observation systems with incomplete information (93C41) Estimation and detection in stochastic control theory (93E10) Discrete event control/observation systems (93C65)

Related Items (6)

Solving future equation systems using integral-type error function and using twice ZNN formula with disturbances suppressed ⋮ On state estimation for nonlinear dynamical networks with random sensor delays and coupling strength under event-based communication mechanism ⋮ Recursive distributed filtering for two-dimensional shift-varying systems over sensor networks under stochastic communication protocols ⋮ State estimation over lossy channel via online measurement coding: algorithm design and performance optimization ⋮ Event-based state and fault estimation for stochastic nonlinear system with Markov packet dropout ⋮ Decentralised event-triggered impulsive synchronisation for semi-Markovian jump delayed neural networks with leakage delay and randomly occurring uncertainties

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