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 system identification.
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System Identification
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System Identification Overview
Beginner
Article / Blog
Theory
System identification is a methodology for building mathematical models of dynamic systems using measurements of the input and output signals of the system. This overview from Mathworks...
See MoreWhat are Nonlinear ARX Models?
Intermediate
Article / Blog
Theory
This Mathworks page provides an overview of Nonlinear ARX Models.Nonlinear ARX models extend the linear ARX models to the nonlinear case. The structure of these models enables you to model...
See MoreWhat Is Online Estimation?
Beginner
Article / Blog
Theory
This Mathworks document describes online estimation. Online estimation algorithms estimate the parameters and states of a model when new data is available during the operation of the...
See MoreWhat are Polynomial Models?
Intermediate
Article / Blog
Theory
This Mathworks page provides an overview of polynomial models.
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