Identification of continuous-time systems : linear and robust parameter estimation / Allamaraju Subrahmanyam, Ganti Prasada Rao.
"Models of physical systems are originally in continuous-time (CT) since they are based on physical laws which are invariably in CT. To identify these models directly in their native CT form, avoiding intermediate discrete time (DT) model identification, the established method consists of two s...
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| Online Access: |
Full Text (via Taylor & Francis) |
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| Main Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton :
CRC Press/Taylor & Francis Group,
[2020]
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| Series: | Engineering systems and sustainability series.
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| Subjects: |
MARC
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| 100 | 1 | |a Allamaraju, Subrahmanyam, |e author. |0 http://id.loc.gov/authorities/names/no2001012907 | |
| 245 | 1 | 0 | |a Identification of continuous-time systems : |b linear and robust parameter estimation / |c Allamaraju Subrahmanyam, Ganti Prasada Rao. |
| 264 | 1 | |a Boca Raton : |b CRC Press/Taylor & Francis Group, |c [2020] | |
| 300 | |a 1 online resource. | ||
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| 337 | |a computer |b c |2 rdamedia | ||
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| 490 | 1 | |a Engineering systems and sustainability | |
| 520 | |a "Models of physical systems are originally in continuous-time (CT) since they are based on physical laws which are invariably in CT. To identify these models directly in their native CT form, avoiding intermediate discrete time (DT) model identification, the established method consists of two stages. In the primary stage signals are processed by a general linear dynamic operation- computational or realized through prefilters to preserve the system parameters in their native continuous time form and the literature is rich on this aspect. This book complements the existing literature about identification of continuous-time systems by enhancing the secondary stage by considering models which are linear in unknown parameters thereby rendering estimation linear and robust"-- |c Provided by publisher. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | |a Description based on print version record. | ||
| 650 | 0 | |a Automatic control |x Mathematical models. |0 http://id.loc.gov/authorities/subjects/sh2007101729 | |
| 650 | 0 | |a Linear time invariant systems. |0 http://id.loc.gov/authorities/subjects/sh85077184 | |
| 650 | 0 | |a System identification. |0 http://id.loc.gov/authorities/subjects/sh85131740 | |
| 650 | 0 | |a Parameter estimation. |0 http://id.loc.gov/authorities/subjects/sh85097853 | |
| 650 | 7 | |a Automatic control |x Mathematical models. |2 fast | |
| 650 | 7 | |a Linear time invariant systems. |2 fast | |
| 650 | 7 | |a Parameter estimation. |2 fast | |
| 650 | 7 | |a System identification. |2 fast | |
| 700 | 1 | |a Prasada Rao, Ganti, |d 1942- |e author. |0 http://id.loc.gov/authorities/names/n83005517 |1 http://isni.org/isni/0000000109327964 | |
| 758 | |i has work: |a Identification of continuous-time systems (Text) |1 https://id.oclc.org/worldcat/entity/E39PCH4d9H66p8g4HBq43pJv73 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Allamaraju, Subrahmanyam. |t Identification of continuous-time systems |b First edition. |d New York, N.Y. : CRC Press/Taylor & Francis Group, 2020. |z 9780367371432 |w (DLC) 2019032828 |
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| 830 | 0 | |a Engineering systems and sustainability series. |0 http://id.loc.gov/authorities/names/no2016155364 | |
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