Grey-box modelling and identification using physical knowledge and Bayesian techniques

DOI10.1016/0005-1098(93)90124-CzbMath0800.93080OpenAlexW1986310839MaRDI QIDQ1801973

Herbert J. A. F. Tulleken

Publication date: 17 August 1993

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(93)90124-c

Mathematics Subject Classification ID

Related Items (10)

Condition Monitoring by Model-of-Signals: Application to Gearbox Lubrication ⋮ Convergence properties of the least squares estimation algorithm for multivariable systems ⋮ Identification of nonlinear systems using empirical data and prior knowledge -- An optimization approach ⋮ Development of a mathematical model that predicts the outcome of hormone therapy for prostate cancer ⋮ Unfalsified model parametrization based on frequency domain noise information ⋮ Estimation of feedwater heater parameters based on a grey-box approach ⋮ Multiobjective nonlinear system identification: a case study with thyristor controlled series capacitor (TCSC) ⋮ Multiobjective parameter estimation for non-linear systems: affine information and least-squares formulation ⋮ Constraint-based fuzzy models for an environment with heterogeneous information-granules ⋮ Modeling nonlinear dynamics and chaos: a review

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