Il Tuo Carrello è vuoto
Modelling and Identification with Rational Orthogonal Basis Functions - 2012
- Codice prodotto: 255591446237
- DISPONIBILITÀ: In Stock
- Prezzo: 219,00€
QUANTITÀ:
Modelling and Identification with Rational Orthogonal Basis Functions
Edizione Inglese di Peter S.C. Heuberger (a cura di), Paul M.J. van den Hof (a cura di), Bo Wahlberg (a cura di)
Editore: Springer London
EAN: 9781849969765
ISBN: 1849969760
Pagine: 424
Formato: Paperback
Models of dynamical systems are of great importance in almost all fields of science and engineering and specifically in control, signal processing and information science. A model is always only an approximation of a real phenomenon so that having an approximation theory which allows for the analysis of model quality is a substantial concern. The use of rational orthogonal basis functions to represent dynamical systems and stochastic signals can provide such a theory and underpin advanced analysis and efficient modelling. It also has the potential to extend beyond these areas to deal with many problems in circuit theory, telecommunications, systems, control theory and signal processing.Modelling and Identification with Rational Orthogonal Basis Functions affords a self-contained description of the development of the field over the last 15 years, furnishing researchers and practising engineers working with dynamical systems and stochastic processes with a standard reference work.
Edizione Inglese di Peter S.C. Heuberger (a cura di), Paul M.J. van den Hof (a cura di), Bo Wahlberg (a cura di)
Editore: Springer London
EAN: 9781849969765
ISBN: 1849969760
Pagine: 424
Formato: Paperback
Models of dynamical systems are of great importance in almost all fields of science and engineering and specifically in control, signal processing and information science. A model is always only an approximation of a real phenomenon so that having an approximation theory which allows for the analysis of model quality is a substantial concern. The use of rational orthogonal basis functions to represent dynamical systems and stochastic signals can provide such a theory and underpin advanced analysis and efficient modelling. It also has the potential to extend beyond these areas to deal with many problems in circuit theory, telecommunications, systems, control theory and signal processing.Modelling and Identification with Rational Orthogonal Basis Functions affords a self-contained description of the development of the field over the last 15 years, furnishing researchers and practising engineers working with dynamical systems and stochastic processes with a standard reference work.
Scrivi una recensione
Nome:
La tua recensione:
Note: HTML non è tradotto!
Voto: Pessimo Buono
Inserisci il codice mostrato in figura:
