State estimation for networked systems with randomly occurring quantisations

DOI10.1080/00207721.2012.702245zbMath1278.93249OpenAlexW2011308536MaRDI QIDQ2872540

Yindong Ji, Zidong Wang, Xiao He, Dong Hua Zhou

Publication date: 15 January 2014

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2012.702245

zbMATH Keywords

state estimationnetworked systemsLyapunov function approachstochastic sequencequantization effectslogarithmic quantizersnetworked three-tank systemrandomly occurring quantizationssector-bounded parameter uncertainties

Mathematics Subject Classification ID

Lyapunov and storage functions (93D30) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05)

Related Items (7)

Robust \(H_{\infty}\) filtering for discrete-time Markov jump linear system with missing measurements ⋮ Event-triggered \(\mathcal H_\infty\) state estimation for semi-Markov jumping discrete-time neural networks with quantization ⋮ New Event-Triggered scheme of Observer Based Feedback Control for Delay T-S Fuzzy Systems with Imperfect Premises under Nonlinear Term ⋮ Dynamic quantised feedback stabilisation of discrete-time linear system with white noise input ⋮ Mode-independentH_∞filtering for discrete-time Markov jump linear system with parametric uncertainties and quantized measurements ⋮ Fault detection for discrete time-delay networked systems with round-robin protocol in finite-frequency domain ⋮ L₂-L_∞ filtering for stochastic delayed systems with randomly occurring nonlinearities and sensor saturation

Cites Work

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