An adaptive learning approach to the identification of structural and mechanical systems

DOI10.1016/0898-1221(91)90026-ZzbMath0743.93011OpenAlexW1967154799MaRDI QIDQ1179377

Firdaus E. Udwadia, Robert E. Kalaba

Publication date: 26 June 1992

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0898-1221(91)90026-z

zbMATH Keywords

neural networksadaptive learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) System identification (93B30) Nonlinear systems in control theory (93C10) Linear systems in control theory (93C05) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)

Related Items (2)

Linear programming, recurrent associative memories, and feed-forward neural networks ⋮ Associative memory approach to the identification of structural and mechanical systems

Cites Work

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• Solving nonlinear equations by adaptive homotopy continuation
• Trade-Offs Between Identification and Control in Dynamic Systems
• Obtaining initial parameter estimates for nonlinear systems using multicriteria associative memories
• Neurobiological computational models in structural analysis and design
• Some Uniqueness Results Related to Building Structural Identification

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