Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Boca Raton, FL
CRC Press/Taylor and Francis Group
[2014]
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781466568846/?ar |
| Zusammenfassung: | Recursive Identification and Parameter Estimation describes a recursive approach to solving system identification and parameter estimation problems arising from diverse areas. Supplying rigorous theoretical analysis, it presents the material and proposed algorithms in a manner that makes it easy to understand?providing readers with the modeling and identification skills required for successful theoretical research and effective application. The book begins by introducing the basic concepts of probability theory, including martingales, martingale difference sequences, Markov chains, mixing processes, and stationary processes. Next, it discusses the root-seeking problem for functions, starting with the classic RM algorithm, but with attention mainly paid to the stochastic approximation algorithms with expanding truncations (SAAWET) which serves as the basic tool for recursively solving the problems addressed in the book. The book not only identifies the results of system identification and parameter estimation, but also demonstrates how to apply the proposed approaches for addressing problems in a range of areas, including: Identification of ARMAX systems without imposing restrictive conditions Identification of typical nonlinear systems Optimal adaptive tracking Consensus of multi-agents systems Principal component analysis Distributed randomized PageRank computation This book recursively identifies autoregressive and moving average with exogenous input (ARMAX) and discusses the identification of non-linear systems. It concludes by addressing the problems arising from different areas that are solved by SAAWET. Demonstrating how to apply the proposed approaches to solve problems across a range of areas, the book is suitable for students, researchers, and engineers working in systems and control, signal processing, communication, and mathematical statistics. |
| Beschreibung: | Includes bibliographical references and index. - Print version record |
| Umfang: | 1 Online-Ressource (xiii, 426 pages) illustrations |
| ISBN: | 9781466568860 1466568860 1306866804 9781306866804 1466568844 9781466568846 |
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| id | ZDB-30-ORH-077127889 |
| illustrated | Illustrated |
| indexdate | 2025-06-25T12:14:32Z |
| institution | BVB |
| isbn | 9781466568860 1466568860 1306866804 9781306866804 1466568844 9781466568846 |
| language | English |
| open_access_boolean | |
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| physical | 1 Online-Ressource (xiii, 426 pages) illustrations |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | CRC Press/Taylor and Francis Group |
| record_format | marc |
| spelling | Chen, Hanfu VerfasserIn aut Recursive identification and parameter estimation Han-Fu Chen, Wenxiao Zhao Boca Raton, FL CRC Press/Taylor and Francis Group [2014] ©2014 1 Online-Ressource (xiii, 426 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Print version record Recursive Identification and Parameter Estimation describes a recursive approach to solving system identification and parameter estimation problems arising from diverse areas. Supplying rigorous theoretical analysis, it presents the material and proposed algorithms in a manner that makes it easy to understand?providing readers with the modeling and identification skills required for successful theoretical research and effective application. The book begins by introducing the basic concepts of probability theory, including martingales, martingale difference sequences, Markov chains, mixing processes, and stationary processes. Next, it discusses the root-seeking problem for functions, starting with the classic RM algorithm, but with attention mainly paid to the stochastic approximation algorithms with expanding truncations (SAAWET) which serves as the basic tool for recursively solving the problems addressed in the book. The book not only identifies the results of system identification and parameter estimation, but also demonstrates how to apply the proposed approaches for addressing problems in a range of areas, including: Identification of ARMAX systems without imposing restrictive conditions Identification of typical nonlinear systems Optimal adaptive tracking Consensus of multi-agents systems Principal component analysis Distributed randomized PageRank computation This book recursively identifies autoregressive and moving average with exogenous input (ARMAX) and discusses the identification of non-linear systems. It concludes by addressing the problems arising from different areas that are solved by SAAWET. Demonstrating how to apply the proposed approaches to solve problems across a range of areas, the book is suitable for students, researchers, and engineers working in systems and control, signal processing, communication, and mathematical statistics. Systems engineering Mathematics Parameter estimation Recursive functions Ingénierie des systèmes ; Mathématiques Estimation d'un paramètre Fonctions récursives TECHNOLOGY & ENGINEERING ; Engineering (General) TECHNOLOGY & ENGINEERING ; Reference Zhao, Wenxiao VerfasserIn aut 9781466568846 Erscheint auch als Druck-Ausgabe 9781466568846 |
| spellingShingle | Chen, Hanfu Zhao, Wenxiao Recursive identification and parameter estimation Systems engineering Mathematics Parameter estimation Recursive functions Ingénierie des systèmes ; Mathématiques Estimation d'un paramètre Fonctions récursives TECHNOLOGY & ENGINEERING ; Engineering (General) TECHNOLOGY & ENGINEERING ; Reference |
| title | Recursive identification and parameter estimation |
| title_auth | Recursive identification and parameter estimation |
| title_exact_search | Recursive identification and parameter estimation |
| title_full | Recursive identification and parameter estimation Han-Fu Chen, Wenxiao Zhao |
| title_fullStr | Recursive identification and parameter estimation Han-Fu Chen, Wenxiao Zhao |
| title_full_unstemmed | Recursive identification and parameter estimation Han-Fu Chen, Wenxiao Zhao |
| title_short | Recursive identification and parameter estimation |
| title_sort | recursive identification and parameter estimation |
| topic | Systems engineering Mathematics Parameter estimation Recursive functions Ingénierie des systèmes ; Mathématiques Estimation d'un paramètre Fonctions récursives TECHNOLOGY & ENGINEERING ; Engineering (General) TECHNOLOGY & ENGINEERING ; Reference |
| topic_facet | Systems engineering Mathematics Parameter estimation Recursive functions Ingénierie des systèmes ; Mathématiques Estimation d'un paramètre Fonctions récursives TECHNOLOGY & ENGINEERING ; Engineering (General) TECHNOLOGY & ENGINEERING ; Reference |
| work_keys_str_mv | AT chenhanfu recursiveidentificationandparameterestimation AT zhaowenxiao recursiveidentificationandparameterestimation |