Black Box System Identification

Описание: Although it is an approach model used when there is no information about the system you are examining, only experimental data are used when modeling. In this approach, signals are applied to the inputs of systems that we do not have information about and a model is obtained by monitoring the output signals. You can put this in Scope boxes at the input and output of the system, save the numerical data we obtain from here as a column matrix in the Matlab environment, and then model the system, and after this step, the model of the system can be obtained with various parameters. This modeling type is the most used type; The reason for this is that real systems are very complex and the mathematical models of these systems are tried to be calculated with this black box system definition approach. Matlab System Identification Toolbox is one of the tools for mathematical modeling with the black box approach. The System Identification Toolbox provides you with the necessary environment to create mathematical models of dynamic systems from measured input-output data. It allows the creation and use of models of dynamic systems that cannot be easily modeled.