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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MATLAB Example: Online Recursive Least Squares Estimation
Intermediate
Project
Demonstration
This example shows how to implement an online recursive least squares estimator. You estimate a nonlinear model of an internal combustion engine and use recursive least squares to detect...
See MorePerspectives on Control-Relevant Identification Through the Use of Interacti...
Intermediate
Peer Reviewed Paper
Theory
This paper presents a control-relevant identification methodology through an intuitive interactive tool called "Interactive Tool for Control Relevant Identification (ITCRI)". ITCRI...
See MoreManuscript about ITISE: an Interactive Software Tool for System Identificati...
Intermediate
Peer Reviewed Paper
Theory
The paper describes the conceptual basis, main features and functionality of an interactive software tool developed in support of system identification education and discovery.
This...
See MoreBenchmarking tools for a priori identifiability analysis
Advanced
Peer Reviewed Paper
Evaluation
Recent review and benchmark of software tools that can be used for assess the structural identifiability of dynamical systems
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