- Inbunden (Hardback)
- Antal sidor
- 2005 ed.
- Springer London Ltd
- Heuberger, Peter S. C. (ed.), Hof, Paul M. J. van den (ed.), Wahlberg, Bo (ed.)
- 13 Tables, black and white; XXVI, 397 p.
- 234 x 158 x 25 mm
- Antal komponenter
- 1 Hardback
- 725 g
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Modelling and Identification with Rational Orthogonal Basis Functions
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From the reviews: "The book deals with the construction and use of rational orthogonal basis functions in modelling and identification of linear dynamical systems. It is written by nine authors as a research monograph and represents a survey of the field. The framework and tools are given that make it easy to evaluate how much one gains by using orthogonal basis function models ... ." (UElle Kotta, Mathematical Reviews, Issue 2006 k)
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Peter Heuberger obtained his M.Sc. degree in Mathematics at Groningen University and his Ph.D. from Delft University of Technology (both in the Netherlands). As well as his part-time position at the Delft Center for Systems and Control, he is a researcher at the Netherlands Environmental Assessment Agency in the Department of Information Services and Methodology. Paul Van den Hof has been Professor of Signals, Systems and Control at the Delft University of Technology since 1999 and th co-Director of the Center for Systems and Control since 2003. Professor Van den Hof's research interests include system identification, parametrization, signal processing and robust control design, physical measurement systems and industrial process control. He is a member of the IFAC Council (serving between 1999 and 2005), an elected member of the Board of Governors of the IEEE Control Systems Society between 2003 and 2005 and Automatica Editor for Rapid Publications. Professor Bo Wahlberg has held the Chair of Automatic Control at the Royal Institute of Technology (KTH), Stockholm since 1991. He has served as visiting professor at Stanford University and was a vice-president of KTH between 1999 and 2001. Professor Wahlberg's extensive c.v. can be found at http://www.s3.kth.se/~bo/cv.pdf
Introduction Construction and Analysis Transformation Analysis System Identification with Generalized Orthonormal Basis Functions Variance Error, Reproducing Kernels and Orthonormal Bases Numerical Conditioning Model Uncertainty Bounding Frequency Domain Identification in H-2 Frequency Domain Identification in H-Infinity Design Issues Pole Selection in GOBF Models Transformation Theory Realization Theory.