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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Learning Linear System Identification using Interactive Tools for Process Co...
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This journey introduces a fun and different way to learn Linear System Identification concepts by using interactive tools. Open-loop and closed-loop criteria are analyzed and discussed.
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