Identification of Continuous-Time Systems: Methodology and Computer Implementation: Intelligent Systems, Control and Automation: Science and Engineering, cartea 7
Editat de N.K. Sinha, G. P. Raoen Limba Engleză Paperback – 23 oct 2012
Din seria Intelligent Systems, Control and Automation: Science and Engineering
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Specificații
ISBN-13: 9789401055765
ISBN-10: 9401055769
Pagini: 660
Ilustrații: XV, 637 p.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.91 kg
Ediția:Softcover reprint of the original 1st ed. 1991
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Intelligent Systems, Control and Automation: Science and Engineering
Locul publicării:Dordrecht, Netherlands
ISBN-10: 9401055769
Pagini: 660
Ilustrații: XV, 637 p.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.91 kg
Ediția:Softcover reprint of the original 1st ed. 1991
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Intelligent Systems, Control and Automation: Science and Engineering
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchCuprins
1 Continuous-time models and approaches.- 2 Discrete-time modeling and identification of continuous-time systems: a general framework.- 3 The relationship between discrete time and continuous time linear estimation.- 4 Transformation of discrete-time models.- 5 Methods using Walsh functions.- 6 Use of the block-pulse operator.- 7 Recursive block pulse function method.- 8 Continuous model identification via orthogonal polynomials.- 9 Use of numerical integration methods.- 10 Application of digital filtering techniques.- 11 The Poisson moment functional technique — Some New Results.- 12 Identification, estimation and control of continuous-time systems described by delta operator models.- 13 Identification of multivariable continuous- time systems.- 14 Use of pseudo-observability indices in identification of continuous-time multivariable models.- 15 SVD-based subspace methods for multivariable continuous-time systems identification.- 16 Identification of continuous-time systems using multiharmonic test signals.- 17 Adaptive model approaches.- 18 Nonparametric approaches to identification.- 19 From fine asymptotics to model selection.- 20 Real time issues in continuous system identification.
Recenzii
`However, as a broad survey of mathematical techniques for system identification in the continuous-time domain, this book can be recommended.'
Journal of System and Control Engineering
Journal of System and Control Engineering