Tangirala, Arun K., 1974-
Principles of system identification : theory and practice / Arun K. Tangirala. - xxxiii, 858 pages, 16 unnumbered pages of plates : illustrations (some color) ; 26 cm.
"Presents the foundational pillars of identification, namely, the theory of discrete-time LTI systems, the basics of signal processing, the theory of random processes, and estimation theory."--Back cover.
Includes bibliographical references (pages 814-828) and index.
Introduction -- A journey into identification -- Mathematical descriptions of processes: models -- Models for discrete-time LTI systems -- Transform-domain models for linear Time-invariant systems -- Sampling and discretization -- Random processes -- Time-domain analysis: correlation functions -- Models for linear stationary processes -- Fourier analysis and spectral analysis of deterministic signals -- Spectral representations of random processes -- Introduction to estimation -- Goodness of estimators -- Estimation methods: part I -- Estimation methods: part II -- Estimation of signal properties -- Non-parametric and parametric models for identification -- Predictions -- Identification of parametric time-series models -- Identification of non-parametric input-output models -- Identification of parametric input-output models -- Statistical and practical elements of model building -- Identification of state-space models -- Case studies -- Advanced topics in SISO identification -- Linear multivariable identification.
9781439895993 1439895996
2015451523
System identification.
QA402 / .T364 2015
003.1
Principles of system identification : theory and practice / Arun K. Tangirala. - xxxiii, 858 pages, 16 unnumbered pages of plates : illustrations (some color) ; 26 cm.
"Presents the foundational pillars of identification, namely, the theory of discrete-time LTI systems, the basics of signal processing, the theory of random processes, and estimation theory."--Back cover.
Includes bibliographical references (pages 814-828) and index.
Introduction -- A journey into identification -- Mathematical descriptions of processes: models -- Models for discrete-time LTI systems -- Transform-domain models for linear Time-invariant systems -- Sampling and discretization -- Random processes -- Time-domain analysis: correlation functions -- Models for linear stationary processes -- Fourier analysis and spectral analysis of deterministic signals -- Spectral representations of random processes -- Introduction to estimation -- Goodness of estimators -- Estimation methods: part I -- Estimation methods: part II -- Estimation of signal properties -- Non-parametric and parametric models for identification -- Predictions -- Identification of parametric time-series models -- Identification of non-parametric input-output models -- Identification of parametric input-output models -- Statistical and practical elements of model building -- Identification of state-space models -- Case studies -- Advanced topics in SISO identification -- Linear multivariable identification.
9781439895993 1439895996
2015451523
System identification.
QA402 / .T364 2015
003.1