|
|
|
|
| LEADER |
03827nam a22003853i 4500 |
| 001 |
EBC30401263 |
| 003 |
MiAaPQ |
| 005 |
20240729202205.0 |
| 006 |
m o d | |
| 007 |
cr cnu|||||||| |
| 008 |
240729s2012 xx o ||||0 eng d |
| 020 |
|
|
|a 9789175198002
|q (electronic bk.)
|
| 035 |
|
|
|a (MiAaPQ)EBC30401263
|
| 035 |
|
|
|a (Au-PeEL)EBL30401263
|
| 035 |
|
|
|a (OCoLC)1372396985
|
| 040 |
|
|
|a MiAaPQ
|b eng
|e rda
|e pn
|c MiAaPQ
|d MiAaPQ
|
| 100 |
1 |
|
|a Lyzell, Christian.
|
| 245 |
1 |
0 |
|a Structural Reformulations in System Identification.
|
| 250 |
|
|
|a 1st ed.
|
| 264 |
|
1 |
|a Linköping :
|b Linkopings Universitet,
|c 2012.
|
| 264 |
|
4 |
|c {copy}2012.
|
| 300 |
|
|
|a 1 online resource (183 pages)
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 490 |
1 |
|
|a Linköping Studies in Science and Technology. Dissertations Series ;
|v v.1475
|
| 505 |
0 |
|
|a Intro -- Abstract -- Populärvetenskaplig sammanfattning -- Acknowledgments -- Contents -- Notation -- I Background -- 1 Introduction -- 1.1 Research Motivation -- 1.2 Outline of the Thesis -- 1.3 Contributions -- 2 System Identification -- 2.1 Introduction -- 2.2 Model Structures -- 2.2.1 Linear Time-Invariant -- 2.2.2 Nonlinear Time-Invariant -- 2.3 Instrumental Variables -- 2.4 Subspace Identification -- 2.4.1 Discrete Time -- 2.4.2 Continuous Time -- 2.5 An Algebraic Approach -- 2.6 Model Validation -- II Dimension Reduction -- 3 Introduction to Dimension Reduction -- 3.1 Introduction -- 3.2 System Identification Applications -- 3.3 Direct Regression Approaches -- 3.4 Inverse Regression Approaches -- 3.5 Summary -- 4 Inverse Regression for the Wiener Class of Systems -- 4.1 Introduction -- 4.2 Inverse Regression -- 4.3 Statistical Inference -- 4.4 Consistency Analysis -- 4.5 Local Linear Models -- 4.6 Simulations -- 4.6.1 Wiener Systems with a Single Branch -- 4.6.2 Wiener Systems with Multiple Branches -- 4.7 Concluding Remarks -- 4.A Complements -- 5 A Convex Relaxation of a Dimension Reduction Problem -- 5.1 Introduction -- 5.2 Minimum Average Variance Estimation -- 5.2.1 Design Choices -- 5.2.2 Dimension estimation -- 5.3 A Reformulation -- 5.4 A Convex Heuristic -- 5.5 Simulations -- 5.5.1 A Nonlinear Time Series -- 5.5.2 Wiener System with a Single Branch -- 5.5.3 Wiener System with Multiple Branches -- 5.6 Concluding Remarks -- 5.A The Adjoint Operator -- 5.B An Inverse Regression Formulation -- III Subspace Identification -- 6 Utilizing Structure Information in Subspace Identification -- 6.1 Introduction -- 6.2 OE Models -- 6.2.1 Discrete Time -- 6.2.2 Continuous Time -- 6.3 ARMAX Models -- 6.4 Special Gray-Box Models -- 6.5 Conclusions -- 7 Subspace Identification via Dimension Reduction -- 7.1 Introduction -- 7.2 Estimation Procedure.
|
| 505 |
8 |
|
|a 7.3 Simulations -- 7.4 Conclusions -- IV Difference Algebra -- 8 Difference algebra and system identification -- 8.1 Introduction -- 8.2 Algebraic concepts -- 8.2.1 Signal shifts -- 8.2.2 Polynomials -- 8.2.3 Sets of polynomials -- 8.3 Identifiability -- 8.4 A pragmatic approach -- 8.5 Conclusions -- 9 Conclusions -- Bibliography.
|
| 588 |
|
|
|a Description based on publisher supplied metadata and other sources.
|
| 590 |
|
|
|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
|
| 655 |
|
4 |
|a Electronic books.
|
| 776 |
0 |
8 |
|i Print version:
|a Lyzell, Christian
|t Structural Reformulations in System Identification
|d Linköping : Linkopings Universitet,c2012
|
| 797 |
2 |
|
|a ProQuest (Firm)
|
| 830 |
|
0 |
|a Linköping Studies in Science and Technology. Dissertations Series
|
| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=30401263
|z Click to View
|
