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- W2124472104 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." @default.
- W2124472104 created "2016-06-24" @default.
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- W2124472104 date "2005-06-01" @default.
- W2124472104 modified "2023-10-16" @default.
- W2124472104 title "Hierarchical identification of lifted state-space models for general dual-rate systems" @default.
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- W2124472104 doi "https://doi.org/10.1109/tcsi.2005.849144" @default.
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