Principles of system identification theory and practice
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
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | 98704 | ||
| 003 | MY-KLNDU | ||
| 005 | 20241220022703.0 | ||
| 008 | 221104 20152015flua bi 001 0 eng d | ||
| 020 | |a 9781439895993 (hardback) | ||
| 039 | 9 | |a 202211041136 |b VLOAD |c 201606200914 |d farah |c 201606171059 |d farah |c 201606171056 |d farah |y 201512091937 |z syarifuddin | |
| 040 | |a UPNM |b eng |c UPNM |e rda | ||
| 090 | |a QA 402 |b .T36 2015 | ||
| 100 | 1 | |a Tangirala, Arun K. |e author | |
| 245 | 1 | 0 | |a Principles of system identification |b theory and practice |c Arun K. Tangirala |
| 264 | 0 | |a Boca Raton, Florida |b CRC Press |c © 2015 | |
| 300 | |a xxxiii, 858 pages |b illustrations |c 26 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 504 | |a Include bibliographical references and index | ||
| 505 | |a 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 | ||
| 520 | |a 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 | ||
| 592 | |a IN/98510 |b 18/03/2016 |c RM 528.00 |h YUHA | ||
| 650 | 1 | 0 | |a System identification |
| 999 | |a vtls000056095 |c 98704 |d 98704 | ||