Identification of continuous-time models from sampled data

Identification of continuous-time models from sampled data

Garnier, H.
Wang, L.

166,35 €(IVA inc.)

Identification of Continuous-time Models from Sampled Data presents an up-to-date view of this active area of research, describing recent methods and software tools and offering new results in areas such as: time and frequency domainoptimal statistical approaches to identification; parametric identification for linear, nonlinear and stochastic systems; identification using instrumentalvariable, subspace and data compression methods; closed-loop and robust identification; and continuous-time modeling from non-uniformly sampled data and for systems with delay. The CONTSID toolbox discussed in the final chapter givesan overview of developments and practical examples in which MATLAB® can be used for direct time-domain identification of continuous-time systems. A valuable reference for a broad audience drawn from researchers and graduate students in signal processing as well as in systems and control this book also covers material suitable for specialised graduate courses in these areas. First book dedicated to direct continuous-time model identification for 15 years Cuts downon time spent hunting through journals by providing an overview of much recent research in an increasingly busy field Assimilates methods and results from 20 international experts in a co-ordinated whole INDICE: From the contents Direct Identification of Continuous-time Models from Sampled Data.- Estimation of Continuous-time Stochastic System Parameters.- Robust Identification of Continuous-time Systems from Sampled Data.- Refined Instrumental Variable Identification of Continuous-time Hybrid Box–Jenkins Models.- Instrumental Variable Methods for Closed-loop Continuous Model Identification.- Model Order Identification for Continuous-time Models.- Estimation of the Parameters of Continuous-time Systems Using Data Compression.- FrequencyDomain Approach to Continuous-time System Identification.- The CONTSID Toolbox.- Subspace-based Continuous-time Identification.- Process Parameter and Delay Estimation from Non-uniformly Sampled Data.- Iterative Methods for Identification of Multiple Input Continuous-time Systems with Unknown Time Delays.- Closed-loop Parametric Identification for Continuous-time Linear Systems via New Algebraic Techniques.

  • ISBN: 978-1-84800-160-2
  • Editorial: Springer
  • Encuadernacion: Cartoné
  • Páginas: 435
  • Fecha Publicación: 01/06/2008
  • Nº Volúmenes: 1
  • Idioma: Inglés