L'obiettivo formativo del corso consiste nel fornire agli studenti gli elementi avanzati per l'analisi dei sistemi dinamici a tempo discreto, sia in contesto deterministico che stocastico, per l'analisi e la realizzazione di algoritmi di stima, predizione e identificazione di modelli a partire da dati sperimentali e per la sintesi e implementazione di algoritmi di stima dello stato di sistemi dinamici sia in contesto deterministico che stocastico.
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The objective of the course is to provide to the students the advanced methodological tools for the analysis of dynamic systems in the discrete-time domain both in a deterministic and in a stochastic setting, for the analysis and design of estimation, prediction and identification algorithms using experimental data, and for the design and implementation of state estimation algorithms in a deterministic and in a stochastic framework.
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The objective of the course is to provide to the students the advanced methodological tools for the analysis of dynamic systems in the discrete-time domain both in a deterministic and in a stochastic setting, for the analysis and design of estimation, prediction and identification algorithms using experimental data, and for the design and implementation of state estimation algorithms in a deterministic and in a stochastic framework.
- Teacher: GIANFRANCO FENU
- Teacher: THOMAS PARISINI