Identification of continuous-time systems from samples of input-output data: An introduction

DOI10.1007/BF02703750zbMath1029.93011OpenAlexW2074813088MaRDI QIDQ5955828

Naresh K. Sinha

Publication date: 18 February 2002

Published in: Sādhanā (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02703750

zbMATH Keywords

discrete modelsstate space models\(z\)-transfer functioncontinuous modelmatrix exponential

Mathematics Subject Classification ID

System identification (93B30)

Related Items (1)

On a state-space modelling for functional data

Cites Work

• Recursive estimation of the parameters of linear multivariable systems
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• Block-pulse function approach to the identification of MIMO-systems and time-delay systems
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• Identification of continuous-time multivariable systems from sampled data†
• Determination of the Structure of a Canonical Model for the Identification of Linear Multivariable Systems
• Infinite series for logarithm of matrix, applied to identification of linear continuous-time multivariable systems from discrete-time models
• Structure determination and parameter identification for multivariable stochastic linear systems
• Design of optimal input signals for the identification of distributed parameter systems †
• A non-parametric approach to the identification of linear multivariable systems
• IDENTIFICATION AND MODELING FOR LINEAR MULTIVARIABLE DISCRETE-TIME SYSTEMS: A SURVEY
• Stochastic approximation algorithm for the identification of linear multivariable systems
• On sampled data approach to parameter identification of continuous linear systems

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