The System Identification Toolbox is for building accurate, simplified models
of complex systems from noisy time-series data.
It provides tools for creating mathematical models of dynamic systems based
on observed input/output data. The toolbox features a flexible graphical user
interface that aids in the organization of data and models. The identification
techniques provided with this toolbox are useful for applications ranging from
control system design and signal processing to time-series analysis and
vibration analysis.