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Hierarchical Identification of Lifted State-Space Models for General Dual-Rate Systems.
- Source :
- IEEE Transactions on Circuits & Systems. Part I: Regular Papers; Jun2005, Vol. 52 Issue 6, p1179-1187, 9p
- Publication Year :
- 2005
-
Abstract
- This paper is motivated by practical consideration that the input updating and output sampling rates are often limited due to sensor and actuator speed constraints. In particular, for general dual-rate systems with different updating and sampling periods, we derive the lifted state-space models (mapping relations between available dual-rate input-output data), and, by using a hierarchical identification principle, present combined parameter and state estimation algorithms for identifying the canonical lifted models based on the given dual-rate input-output data, taking into account the causality constraints of the lifted systems. Finally, we give an illustrative example to indicate that the proposed algorithm is effective. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15498328
- Volume :
- 52
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Circuits & Systems. Part I: Regular Papers
- Publication Type :
- Periodical
- Accession number :
- 17394128
- Full Text :
- https://doi.org/10.1109/TCSI.2005.849144