Why Use This Toolbox?

System Identification Toolbox™ software lets you estimate linear and nonlinear mathematical models of dynamic systems from measured data. Use the resulting models for analyzing system dynamics, simulating the output of a system for a given input, predicting future outputs based on previous observations of inputs and outputs, or for control design.

System identification is especially helpful for modeling systems that you cannot easily model from first principles or specifications, such as engine subsystems, thermofluid processes, and electromechanical systems. Such black-box models can simplify detailed first-principle models, such as finite-element models of structures and flight dynamics models, by fitting simpler models to their simulated responses.

You can also use System Identification Toolbox functions to compute the coefficients of ordinary differential and difference equations for systems modeled from first principles. Such models are called grey-box models.

For real-time applications in adaptive control, adaptive filtering, or adaptive prediction, you can use this product to perform recursive parameter estimation.

Product Overview

About System Identification

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