02350nam 2200469 450 991046739460332120200520144314.01-119-54640-01-119-54641-9(CKB)4100000007814836(MiAaPQ)EBC5731871(CaSebORM)9781119546368(Au-PeEL)EBL5731871(OCoLC)1057242269(EXLCZ)99410000000781483620190329d2019 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierModel identification and data analysis /Sergio Bittanti1st editionHoboken, NJ :Wiley,[2019]©20191 online resource (419 pages)1-119-54636-2 This book is about constructing models from experimental data. It covers a range of topics, from statistical data prediction to Kalman filtering, from black-box model identification to parameter estimation, from spectral analysis to predictive control. Written for graduate students, this textbook offers an approach that has proven successful throughout the many years during which its author has taught these topics at his University. The book: Contains accessible methods explained step-by-step in simple terms Offers an essential tool useful in a variety of fields, especially engineering, statistics, and mathematics Includes an overview on random variables and stationary processes, as well as an introduction to discrete time models and matrix analysis Incorporates historical commentaries to put into perspective the developments that have brought the discipline to its current state Provides many examples and solved problems to complement the presentation and facilitate comprehension of the techniques presentedSystem identificationMathematical modelsQuantitative researchElectronic books.System identificationMathematical models.Quantitative research.003.1Bittanti Sergio9717MiAaPQMiAaPQMiAaPQBOOK9910467394603321Model identification and data analysis2177864UNINA