Neural networks and dynamical systems

DOI10.1016/0888-613X(92)90014-QzbMath0767.93035OpenAlexW1971771294MaRDI QIDQ1190186

Kannan Parthasarathy, Kumpati S. Narendra

Publication date: 27 September 1992

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0888-613x(92)90014-q

zbMATH Keywords

neural networks

Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10) Minimal systems representations (93B20)

Related Items (8)

System identification through Lipschitz regularized deep neural networks ⋮ An algorithm of uniform ultimate boundedness for a class of switched linear systems ⋮ A case study of monkeypox disease in the United States using mathematical modeling with real data ⋮ A framework for machine learning of model error in dynamical systems ⋮ SPADE4: sparsity and delay embedding based forecasting of epidemics ⋮ Discrepancy Modeling Framework: Learning Missing Physics, Modeling Systematic Residuals, and Disambiguating between Deterministic and Random Effects ⋮ Machine learning for fast and reliable solution of time-dependent differential equations ⋮ Fuzzy adaptive control of a certain class of SISO discrete-time processes

Cites Work

• Discrete-time multivariable adaptive control
• Stable discrete adaptive control
• Global stability of parameter-adaptive control systems
• Stable adaptive controller design, part II: Proof of stability

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