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Contenido archivado el 2022-12-23

Nonparametric identification of dynamical systems: optimal and adaptive algorithms

Objetivo



The principal topic of the research is the study of algorithms of nonparametric identification and prediction for discrete- and continuous-time dynamical systems. This will constitute a basis for adaptive control methods design for non-linear systems.

The objectives of the study are: to state nonparametric identification problems adapted to the needs of control, including the design of performance criteria for identification algorithms and the classification of non-linear models in view of different control objectives; to establish the lower information bounds, that is, the best attainable minimax performance rates with respect to the proposed criteria and model classes; and to design efficient algorithms, that is, the methods which attain these performance bounds.

Convocatoria de propuestas

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Régimen de financiación

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Coordinador

Institut National de la Recherche en Informatique et en Automatique
Aportación de la UE
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Dirección
Domaine de Voluceau Rocquencourt
78153 Le Chesnay
Francia

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Coste total
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Participantes (3)