A necessary and sufficient condition for stability of LMS-based consensus adaptive filters

DOI10.1016/j.automatica.2018.03.027zbMath1400.93306OpenAlexW2794841504MaRDI QIDQ1796976

Yanyan Li

Publication date: 17 October 2018

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2018.03.027

zbMATH Keywords

exponential stabilityperformance analysisswitching networksadaptive filtersstochastic averagingleast mean squaresconsensus strategies

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Decentralized systems (93A14) Stochastic stability in control theory (93E15)

Related Items (7)

A new approach to decentralized constrained nonlinear estimation over noisy communication links ⋮ Robust and scalable distributed recursive least squares ⋮ Distributed sparse identification for stochastic dynamic systems under cooperative non-persistent excitation condition ⋮ Analysis of Normalized Least Mean Squares-Based Consensus Adaptive Filters under a General Information Condition ⋮ Analysis of compressed distributed adaptive filters ⋮ Adaptive step size selection in distributed optimization with observation noise and unknown stochastic target variation ⋮ Multi-agent control: a graph-theoretic perspective

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• Diffusion LMS With Correlated Regressors I: Realization-Wise Stability
• Diffusion LMS With Correlated Regressors II: Performance
• Exponential stability of general tracking algorithms
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