Parameter estimation of delay differential equations: an integration-free LS-SVM approach

DOI10.1016/j.cnsns.2013.07.024zbMath1457.93086OpenAlexW2093668609MaRDI QIDQ2299694

Johan A. K. Suykens, Siamak Mehrkanoon, Saeid Mehrkanoon

Publication date: 24 February 2020

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://lirias.kuleuven.be/handle/123456789/416501

zbMATH Keywords

parameter identificationdelay differential equationsleast squares support vector machinesclosed-form approximation

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Least squares and related methods for stochastic control systems (93E24) Numerical methods for functional-differential equations (65L03)

Related Items (4)

Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States ⋮ Maximum likelihood inference for univariate delay differential equation models with multiple delays ⋮ Simultaneous identification of time-delay parameter and fractional order in nonlinear fractional delay differential equation ⋮ Learning solutions to the source inverse problem of wave equations using LS-SVM

Uses Software

• dde23

Cites Work

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• Subcritical Hopf bifurcation in the delay equation model for machine tool vibrations

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