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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Data based modeling of nonlinear dynamic systems using System Identification...
Intermediate
Software
Demonstration
Using an engine throttle valve modeling example, this demo shares some perspectives on creation of nonlinear models of dynamic systems from the measurements of its input and outputs. It...
See MoreMATLAB scripts for "Nonlinear System Identification | System Identification,...
Intermediate
Software
Demonstration
This Github repo contains the data files and MATLAB scripts that were used in "Nonlinear System Identification | System Identification, Part 3".
See MoreMATLAB Scripts for video "Linear System Identification | System Identificati...
Intermediate
Software
Demonstration
This Github repo contains the data files and MATLAB scripts that were used in the MATLAB Tech Talk video "Linear System Identification | System Identification, Part 2"
See MoreTwo Tank System: C MEX-File Modeling of Time-Continuous SISO System
Intermediate
Software
Demonstration
This MATLAB example shows how to perform IDNLGREY modeling based on C MEX model files. It uses a simple system where nonlinear state space modeling really pays off.
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