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008 150903s2008 xxk| o |||| 0|eng d
020 _a9781848001619
_99781848001619
024 7 _a10.1007/9781848001619
_2doi
035 _avtls000344191
039 9 _a201509030353
_bVLOAD
_c201405050303
_dVLOAD
_y201402061250
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
100 1 _aGarnier, Hugues.
_eeditor.
_9307668
245 1 0 _aIdentification of Continuous-time Models from Sampled Data /
_cedited by Hugues Garnier, Liuping Wang.
264 1 _aLondon :
_bSpringer London,
_c2008.
300 _brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aAdvances in Industrial Control,
_x1430-9491
500 _aSpringer eBooks
505 0 _aDirect Identification of Continuous-time Models from Sampled Data: Issues, Basic Solutions and Relevance -- 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-time Model Identification -- Model Order Identification for Continuous-time Models -- Estimation of the Parameters of Continuous-time Systems Using Data Compression -- Frequency-domain Approach to Continuous-time System Identification: Some Practical Aspects -- The CONTSID Toolbox: A Software Support for Data-based Continuous-time Modelling -- 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 -- Continuous-time Model Identification Using Spectrum Analysis with Passivity-preserving Model Reduction.
520 _aSystem identification is an established field in the area of system analysis and control. It aims to determine particular models for dynamical systems based on observed inputs and outputs. Although dynamical systems in the physical world are naturally described in the continuous-time domain, most system identification schemes have been based on discrete-time models without concern for the merits of natural continuous-time model descriptions. The continuous-time nature of physical laws, the persistent popularity of predominantly continuous-time proportional-integral-derivative control and the more direct nature of continuous-time fault diagnosis methods make continuous-time modeling of ongoing importance. Identification of Continuous-time Models from Sampled Data brings together contributions from well-known experts who present an up-to-date view of this active area of research and describe recent methods and software tools developed in this field. They offer a fresh look at and new results in areas such as: • time and frequency domain optimal statistical approaches to identification; • parametric identification for linear, nonlinear and stochastic systems; • identification using instrumental variable, 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 Continuous-Time System Identification (CONTSID) toolbox described in the book gives an overview of developments and practical examples in which MATLAB® can be brought to bear in the cause of direct time-domain identification of continuous-time systems.This survey of methods and results in continuous-time system identification will be a valuable reference for a broad audience drawn from researchers and graduate students in signal processing as well as in systems and control. It also covers comprehensive material suitable for specialised graduate courses in these areas.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aWang, Liuping.
_eeditor.
_9307667
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781848001602
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84800-161-9
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c291436
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