Linear parameter-varying system identification :: new developments and trends /
This review volume reports the state-of-the-art in Linear Parameter Varying (LPV) system identification. Written by world renowned researchers, the book contains twelve chapters, focusing on the most recent LPV identification methods for both discrete-time and continuous-time models, using different...
Gespeichert in:
| Weitere Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore :
World Scientific Pub. Co.,
2012.
|
| Schriftenreihe: | Advanced series in electrical and computer engineering ;
v. 14. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This review volume reports the state-of-the-art in Linear Parameter Varying (LPV) system identification. Written by world renowned researchers, the book contains twelve chapters, focusing on the most recent LPV identification methods for both discrete-time and continuous-time models, using different approaches such as optimization methods for input/output LPV models Identification, set membership methods, optimization methods and subspace methods for state-space LPV models identification and orthonormal basis functions methods. Since there is a strong connection between LPV systems, hybrid switching systems and piecewise affine models, identification of hybrid switching systems and piecewise affine systems will be considered as well. |
| Beschreibung: | 1 online resource (xv, 385 pages) : illustrations. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9789814355452 9814355453 1280669535 9781280669538 9786613646460 6613646466 |
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| 520 | |a This review volume reports the state-of-the-art in Linear Parameter Varying (LPV) system identification. Written by world renowned researchers, the book contains twelve chapters, focusing on the most recent LPV identification methods for both discrete-time and continuous-time models, using different approaches such as optimization methods for input/output LPV models Identification, set membership methods, optimization methods and subspace methods for state-space LPV models identification and orthonormal basis functions methods. Since there is a strong connection between LPV systems, hybrid switching systems and piecewise affine models, identification of hybrid switching systems and piecewise affine systems will be considered as well. | ||
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| contents | 1. Introduction / C. Novara et al. -- 2. Hybrid LPV modeling and identification / L. Giarre, P. Falugi & R. Badalamenti -- 3. SM identification of IO LPV models with uncertain time-varying parameters / V. Cerone, D. Piga & D. Regruto -- 4. SM identification of state-space LPV systems / C. Novara -- 5. Identification of input-output LPV models / V. Laurain et al. -- 6. Reducing the dimensions of data matrices in LPV subspace identification / V. Verdult & M. Verhaegen -- 7. Subspace identification of MIMO LPV systems / J.W. van Wingerden & M. Verhaegen -- 8. Subspace identification of continuous-time state-space LPV models / M. Bergamasco & M. Lovera -- 9. Indirect continuous-time LPV system identification / P. Lopes dos Santos et al. -- 10. LPV system identification using series expansion models / R. Toth, P.S.C. Heuberger & P.M.J. Van den Hof -- 11. System identification of linear parameter varying state-space models / A. Wills & B. Ninness -- 12. PWA identification of interconnected systems with LFR structure / S. Paoletti & A. Garulli -- 13. Identification and model (in)validation of switched ARX systems / C. Feng et al. |
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| indexdate | 2024-11-27T13:24:48Z |
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| isbn | 9789814355452 9814355453 1280669535 9781280669538 9786613646460 6613646466 |
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| spelling | Linear parameter-varying system identification : new developments and trends / editors, Paulo Lopes dos Santos [and others]. Singapore : World Scientific Pub. Co., 2012. 1 online resource (xv, 385 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Advanced series in electrical and computer engineering ; v. 14 Includes bibliographical references and index. 1. Introduction / C. Novara et al. -- 2. Hybrid LPV modeling and identification / L. Giarre, P. Falugi & R. Badalamenti -- 3. SM identification of IO LPV models with uncertain time-varying parameters / V. Cerone, D. Piga & D. Regruto -- 4. SM identification of state-space LPV systems / C. Novara -- 5. Identification of input-output LPV models / V. Laurain et al. -- 6. Reducing the dimensions of data matrices in LPV subspace identification / V. Verdult & M. Verhaegen -- 7. Subspace identification of MIMO LPV systems / J.W. van Wingerden & M. Verhaegen -- 8. Subspace identification of continuous-time state-space LPV models / M. Bergamasco & M. Lovera -- 9. Indirect continuous-time LPV system identification / P. Lopes dos Santos et al. -- 10. LPV system identification using series expansion models / R. Toth, P.S.C. Heuberger & P.M.J. Van den Hof -- 11. System identification of linear parameter varying state-space models / A. Wills & B. Ninness -- 12. PWA identification of interconnected systems with LFR structure / S. Paoletti & A. Garulli -- 13. Identification and model (in)validation of switched ARX systems / C. Feng et al. This review volume reports the state-of-the-art in Linear Parameter Varying (LPV) system identification. Written by world renowned researchers, the book contains twelve chapters, focusing on the most recent LPV identification methods for both discrete-time and continuous-time models, using different approaches such as optimization methods for input/output LPV models Identification, set membership methods, optimization methods and subspace methods for state-space LPV models identification and orthonormal basis functions methods. Since there is a strong connection between LPV systems, hybrid switching systems and piecewise affine models, identification of hybrid switching systems and piecewise affine systems will be considered as well. English. Linear models (Statistics) http://id.loc.gov/authorities/subjects/sh85077177 TECHNOLOGY & ENGINEERING Automation. bisacsh TECHNOLOGY & ENGINEERING Robotics. bisacsh Linear models (Statistics) fast Santos, Paulo Lopes dos. has work: Linear parameter-varying system identification (Text) https://id.oclc.org/worldcat/entity/E39PCGjqFVJG7qcTtwgR8YXcfq https://id.oclc.org/worldcat/ontology/hasWork 9814355445 9789814355445 Advanced series in electrical and computer engineering ; v. 14. http://id.loc.gov/authorities/names/n86724595 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=457151 Volltext |
| spellingShingle | Linear parameter-varying system identification : new developments and trends / Advanced series in electrical and computer engineering ; 1. Introduction / C. Novara et al. -- 2. Hybrid LPV modeling and identification / L. Giarre, P. Falugi & R. Badalamenti -- 3. SM identification of IO LPV models with uncertain time-varying parameters / V. Cerone, D. Piga & D. Regruto -- 4. SM identification of state-space LPV systems / C. Novara -- 5. Identification of input-output LPV models / V. Laurain et al. -- 6. Reducing the dimensions of data matrices in LPV subspace identification / V. Verdult & M. Verhaegen -- 7. Subspace identification of MIMO LPV systems / J.W. van Wingerden & M. Verhaegen -- 8. Subspace identification of continuous-time state-space LPV models / M. Bergamasco & M. Lovera -- 9. Indirect continuous-time LPV system identification / P. Lopes dos Santos et al. -- 10. LPV system identification using series expansion models / R. Toth, P.S.C. Heuberger & P.M.J. Van den Hof -- 11. System identification of linear parameter varying state-space models / A. Wills & B. Ninness -- 12. PWA identification of interconnected systems with LFR structure / S. Paoletti & A. Garulli -- 13. Identification and model (in)validation of switched ARX systems / C. Feng et al. Linear models (Statistics) http://id.loc.gov/authorities/subjects/sh85077177 TECHNOLOGY & ENGINEERING Automation. bisacsh TECHNOLOGY & ENGINEERING Robotics. bisacsh Linear models (Statistics) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85077177 |
| title | Linear parameter-varying system identification : new developments and trends / |
| title_auth | Linear parameter-varying system identification : new developments and trends / |
| title_exact_search | Linear parameter-varying system identification : new developments and trends / |
| title_full | Linear parameter-varying system identification : new developments and trends / editors, Paulo Lopes dos Santos [and others]. |
| title_fullStr | Linear parameter-varying system identification : new developments and trends / editors, Paulo Lopes dos Santos [and others]. |
| title_full_unstemmed | Linear parameter-varying system identification : new developments and trends / editors, Paulo Lopes dos Santos [and others]. |
| title_short | Linear parameter-varying system identification : |
| title_sort | linear parameter varying system identification new developments and trends |
| title_sub | new developments and trends / |
| topic | Linear models (Statistics) http://id.loc.gov/authorities/subjects/sh85077177 TECHNOLOGY & ENGINEERING Automation. bisacsh TECHNOLOGY & ENGINEERING Robotics. bisacsh Linear models (Statistics) fast |
| topic_facet | Linear models (Statistics) TECHNOLOGY & ENGINEERING Automation. TECHNOLOGY & ENGINEERING Robotics. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=457151 |
| work_keys_str_mv | AT santospaulolopesdos linearparametervaryingsystemidentificationnewdevelopmentsandtrends |