Argomenti del programma: The program of the course is as follows. Discrete-time linear dynamical systems: definition and analysis of model classes for Time Series and Input/Output models (ARMA, ARMAX) Linear optimal prediction Black-box identification from measured data-sets of Input/Output models (algorithm, analysis, validation) Black-box identification from measured data-sets of state-space models Variable estimation: Kalman Filter and…
Argomenti del programma: The program of the course is as follows. Non-parametric system identification: the subspace-based state-space approach Frequency domain parametric identification of models from data Kalman Filter: prediction, virtual-sensing and gray-box system identification Analysis and design of closed-loop systems using the minimum-variance approach Non-linear system-identification and SW-sensing: parametric nonlinear fitting;…
Argomenti del programma: The program of the course is as follows. Discrete-time linear dynamical systems: definition and analysis of model classes for Time Series and Input/Output models (ARMA, ARMAX) Linear optimal prediction Black-box identification from measured data-sets of Input/Output models (algorithm, analysis, validation) Black-box identification from measured data-sets of state-space models Variable estimation: Kalman Filter and…
Argomenti del programma: The program of the course is as follows. Non-parametric system identification: the subspace-based state-space approach Frequency domain parametric identification of models from data Kalman Filter: prediction, virtual-sensing and gray-box system identification Analysis and design of closed-loop systems using the minimum-variance approach Non-linear system-identification and SW-sensing: parametric nonlinear fitting;…
Argomenti del programma: The program of the course is as follows. Non-parametric system identification: the subspace-based state-space approach Frequency domain parametric identification of models from data Kalman Filter: prediction, virtual-sensing and gray-box system identification Analysis and design of closed-loop systems using the minimum-variance approach Non-linear system-identification and SW-sensing: parametric nonlinear fitting;…
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