Identification of Continuous-Time Systems
Identification of Continuous-Time Systems: Linear and Robust Parameter Estimation
by Allamaraju Subrahmanyam
English | 2020 | ISBN: 036737143X | 143 Pages | PDF | 7.52 MB
by Allamaraju Subrahmanyam
English | 2020 | ISBN: 036737143X | 143 Pages | PDF | 7.52 MB
Models of dynamical systems are required for various purposes in the field of systems and control. The models are handled either in discrete time (DT) or in continuous time (CT). Physical systems give rise to models only in CT because they are based on physical laws which are invariably in CT. In system identification, indirect methods provide DT models which are then converted into CT. Methods of directly identifying CT models are preferred to the indirect methods for various reasons. The direct methods involve a primary stage of signal processing, followed by a secondary stage of parameter estimation. In the primary stage, the measured signals are processed by a general linear dynamic operation―computational or realized through prefilters, to preserve the system parameters in their native CT form―and the literature is rich on this aspect.