Modeling of continuous time systems using a discrete time representation

DOI10.1016/0005-1098(90)90029-HzbMath0714.93031OpenAlexW2067046976MaRDI QIDQ751592

Johan Schoukens

Publication date: 1990

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(90)90029-h

zbMATH Keywords

digital filterscontinuous-timeconvolution integralssample integration technique

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Sampled-data control/observation systems (93C57) Control/observation systems governed by ordinary differential equations (93C15) Model systems in control theory (93C99)

Related Items (7)

Identification of linear dynamic systems using piecewise constant exitations: Use, misuse and alternatives ⋮ Parameter identification of induction motor drives ⋮ Identification of continuous-time systems using arbitrary signals ⋮ Integral-equation approach to parameter identification without consideration of initial conditions ⋮ Discrete identification of continuous non-linear andnon-stationary dynamical systems that is insensitive to noise correlation and measurement outliers ⋮ Identification of continuous systems using digital low-pass filters ⋮ On-line parameter and delay estimation of continuous-time dynamic systems

Cites Work

• Unnamed Item
• On approximation of stable linear dynamical systems using Laguerre and Kautz functions

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