A new forced LMS-based adaptive algorithm utilizing the principle of potential energy

DOI10.1016/S0016-0032(00)00021-1zbMath0991.93126OpenAlexW2001069173MaRDI QIDQ5952959

Mohammed A. Khasawneh, T. F. Haddad

Publication date: 25 August 2002

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

Full work available at URL: https://doi.org/10.1016/s0016-0032(00)00021-1

zbMATH Keywords

adaptive algorithmsforced convergence algorithmsLMS-based algorithmsvariable speed algorithms

Mathematics Subject Classification ID

Least squares and related methods for stochastic control systems (93E24)

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Cites Work

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• A generalization of Polyak's convergence result for subgradient optimization
• Improved convergence analysis of stochastic gradient adaptive filters using the sign algorithm
• A stochastic gradient adaptive filter with gradient adaptive step size
• Minimization of unsmooth functionals

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