System Identification in Aerospace
Engineering relies heavily on mathematical models of real systems. However, physical processes are often highly complex and not entirely understood, so the modeling of the first principles can be challenging, sometimes even impossible. System identification allows for any system, however complex or obscure, to be modeled solely on the basis of measurements.
System identification is the science of extracting a model from a set of observations or measurements. By looking at how a system behaves in specific situations, we can determine whether there are patterns in the behaviour and what factors influence it. The underlying idea is to formulate a basic model structure containing a number of unknown parameters, and then estimate these parameters such that the difference between measurements...
