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|a UAMI
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|a Linear parameter-varying system identification :
|b new developments and trends /
|c editors, Paulo Lopes dos Santos [and others].
|
260 |
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|a Singapore :
|b World Scientific Pub. Co.,
|c 2012.
|
300 |
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|a 1 online resource (xv, 385 pages) :
|b illustrations.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a Advanced series in electrical and computer engineering ;
|v v. 14
|
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|a Includes bibliographical references and index.
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0 |
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|a 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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520 |
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|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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546 |
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|a English.
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590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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|a Linear models (Statistics)
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650 |
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|a TECHNOLOGY & ENGINEERING
|x Automation.
|2 bisacsh
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|a TECHNOLOGY & ENGINEERING
|x Robotics.
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|a Linear models (Statistics)
|2 fast
|0 (OCoLC)fst00999084
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700 |
1 |
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|a Santos, Paulo Lopes dos.
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|z 9814355445
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776 |
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|z 9789814355445
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830 |
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|a Advanced series in electrical and computer engineering ;
|v v. 14.
|
856 |
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