A multiple input, multiple output model generator
Report, 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.


Fredrik Bengtsson

Chalmers, Signals and Systems, Systems and control

Torsten Wik

Chalmers, Signals and Systems, Systems and control

Subject Categories

Control Engineering

R - Department of Signals and Systems, Chalmers University of Technology

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