Identification of continuous-time systems : linear and robust parameter estimation /
"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...
| Main Authors: | , |
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| 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: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | "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"-- |
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| Physical Description: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780429352850 0429352859 9781000732764 1000732762 9781000732627 1000732622 9781000732900 1000732908 |