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Low Parametric Sensitivity Realizations with relaxed L2-dynamic-range-scaling constraints
Thibault Hilaire 1
(2009)

This paper presents a new dynamic-range scaling for the implementation of filters/controllers in state-space form. Relaxing the classical L2-scaling constraints by specific fixed-point considerations allows for a higher degree of freedom for the optimal L2-parametric sensitivity problem. However, overflows in the implementation are still prevented. The underlying constrained problem is converted into an unconstrained problem for which a solution can be provided. This leads to realizations which are still scaled but less sensitive.
1 :  CAIRN (INRIA - IRISA)
INRIA – CNRS : UMR6074 – École normale supérieure de Cachan - ENS Cachan – Institut National des Sciences Appliquées (INSA) - Rennes – Université de Rennes 1
Informatique/Autre
Digital filter implementation – coefficient sensitivity – scaling – fixed-point implementation
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