Estimation of continuous-time linear system parameters from periodic data

DOI10.1016/0005-1098(82)90023-1zbMath0472.93068OpenAlexW1994863678MaRDI QIDQ1158395

Erik V. Bohn

Publication date: 1982

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(82)90023-1

zbMATH Keywords

identificationparameter estimationmodellingsimulationWalsh functionstruncation errorcorrelation methodsestimation accuraciesestimation of continuous-time linear system parametersintegral functions satisfying periodicity conditionsoutput response errorsperiodic output data

Mathematics Subject Classification ID

Linear inference, regression (62J99) Estimation and detection in stochastic control theory (93E10) Fourier series in special orthogonal functions (Legendre polynomials, Walsh functions, etc.) (42C10) Identification in stochastic control theory (93E12)

Related Items (4)

Continuous-time constrained least-squares algorithms for recursive parameter estimation of stochastic linear systems by a stabilized output-error method ⋮ Walsh functions for the off-line identification of nonlinear plants and their control ⋮ Recursive evaluation of Walsh coefficients for multiple integrals of Walsh series ⋮ Recursive expressions for evaluating Walsh coefficients for linear dynamic systems†

Cites Work

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• Time-varying reactivity reconstruction via Walsh functions
• Bilinear system identification by Walsh functions
• Shift Walsh matrix and delay-differential equations
• On the Walsh Functions

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