The sensor network estimation with dropouts: anisotropy-based approach

DOI10.1016/J.AUTOMATICA.2023.110924zbMath1520.93544OpenAlexW4321381940MaRDI QIDQ6164033

A. Yu. Kustov, Victor N. Timin, A. V. Yurchenkov

Publication date: 30 June 2023

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2023.110924

zbMATH Keywords

robust estimationsensor networkpacket dropoutlinear stochastic systemanisotropy-based theory

Mathematics Subject Classification ID

Linear systems in control theory (93C05) Automated systems (robots, etc.) in control theory (93C85) Stochastic systems in control theory (general) (93E03) Networked control (93B70)

Cites Work

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• Anisotropy-based multicriteria time-varying filtering on finite horizon
• Anisotropy of signals and entropy of linear stationary systems
• A solution to anisotropic suboptimal filtering problem by convex optimization
• Anisotropy-based controller design for linear discrete-time systems with multiplicative noise
• Conditions of anisotropic norm boundedness for descriptor systems
• Anisotropy-based bounded real lemma for discrete-time systems with multiplicative noise
• Lemma on boundedness of anisotropic norm for systems with multiplicative noises under a noncentered disturbance
• Anisotropy-based performance analysis of linear discrete time invariant control systems
• State-space solutions to standard H/sub 2/ and H/sub infinity / control problems
• Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems
• Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
• \(H_{\infty}\) control and filtering of discrete-time stochastic systems with multiplicative noise

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