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Titlebook: Modelling and Identification with Rational Orthogonal Basis Functions; Peter S.C. Heuberger,Paul M.J. Hof,Bo Wahlberg Book 2005 Springer-V

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書目名稱Modelling and Identification with Rational Orthogonal Basis Functions
編輯Peter S.C. Heuberger,Paul M.J. Hof,Bo Wahlberg
視頻videohttp://file.papertrans.cn/637/636585/636585.mp4
概述Will teach the reader how to use an important technique in modelling and system identification with a wide range of engineering applications.Includes supplementary material:
圖書封面Titlebook: Modelling and Identification with Rational Orthogonal Basis Functions;  Peter S.C. Heuberger,Paul M.J. Hof,Bo Wahlberg Book 2005 Springer-V
描述.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..
出版日期Book 2005
關(guān)鍵詞communication; control; control theory; design; development; identification; information; model; modeling; qu
版次1
doihttps://doi.org/10.1007/1-84628-178-4
isbn_softcover978-1-84996-976-5
isbn_ebook978-1-84628-178-5
copyrightSpringer-Verlag London 2005
The information of publication is updating

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Modelling and Identification with Rational Orthogonal Basis Functions978-1-84628-178-5
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Book 2005l 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..
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.Includes supplementary material: .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
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