System identification

Method of identifying or measuring the mathematical model of a system from measurements of the system inputs and outputs; uses statistical methods to build mathematical models of dynamical systems from measured data

The field of system identification uses statistical methods to build mathematical models of dynamical systems from measured data. System identification also includes the optimal design of experiments for efficiently generating informative data for fitting such models as well as model reduction.

Nº Q1366192 ★

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System identification

Method of identifying or measuring the mathematical model of a system from measurements of the system inputs and outputs; uses statistical methods to build mathematical models of dynamical systems from measured data

The field of system identification uses statistical methods to build mathematical models of dynamical systems from measured data. System identification also includes the optimal design of experiments for efficiently generating informative data for fitting such models as well as model reduction.

From Wikipedia

The field of system identification uses statistical methods to build mathematical models of dynamical systems from measured data. System identification also includes the optimal design of experiments for efficiently generating informative data for fitting such models as well as model reduction. A common approach is to start from measurements of the behavior of the system and the external influences (inputs to the system) and try to determine a mathematical relation between them without going into many details of what is actually happening inside the system; this approach is called black box system identification.

Text: Wikipédia, CC BY-SA 4.0. · Image: נ.פרנקל (CC BY-SA 4.0) ·

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