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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Modelling and Identification with Rational Orthogonal Basis Functions

Modelling and Identification with Rational Orthogonal Basis Functions

Heuberger, Peter S. C.
Van Den Hof, Paul M. J.
Wahlberg, Bo

Hardcover

Technology & EngineeringGeneral ComputersGeneral Mathematics

ISBN10: 185233956X
ISBN13: 9781852339562
Publisher: Springer Nature
Published: Jun 30 2005
Pages: 397
Weight: 1.70
Height: 0.94 Width: 6.14 Depth: 9.21
Language: English

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.

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