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Identification of continuous-time systems : linear and robust parameter estimation / Allamaraju Subrahmanyam and Ganti Prasada Rao.

By: Contributor(s): Series: Engineering systems and sustainability seriesPublisher: Boca raton : CRC Press/Taylor & Francis Group, [2020]Copyright date: ©2020Description: xxii, 120 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780367371432
Subject(s): 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'-- Provided by publisher.
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Item type Current library Home library Collection Call number Materials specified Copy number Status Date due Barcode
AM PERPUSTAKAAN LINGKUNGAN KEDUA PERPUSTAKAAN LINGKUNGAN KEDUA KOLEKSI AM-P. LINGKUNGAN KEDUA - TJ212.2.A44 3 (Browse shelf(Opens below)) 1 Available 00002230479

Includes bibliographical references and index.

'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'-- Provided by publisher.

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