A multiple input, multiple output model generator

Rapport, 2017

When new methods of design and analysis are introduced in the control engineering field, it is scientifically important to compare the new results with existing methods. Often this requires application of the methods on examples, and for this purpose benchmark processes are introduced. However, in many areas of control engineering research the number of examples is limited to a relatively few examples, and in particular so when multi-input multi-output (MIMO) systems are considered. For a thorough assessment of a method, however, as large number of relevant models as possible should be used. As a remedy we propose a framework for generating linear multiple input, multiple output models based on predefined system properties, such as model type, size, stability, time constants, delays etc.