Nowadays industrial automation control tasks are increasingly implemented in embedded real-time computer systems. Modern microprocessors developed for mobile computing and innovative sensors allow more sophisticated algorithms on a higher level of mathematics. For this purpose newer software techniques are required, which are not provided by platforms with traditional automation languages. Furthermore the developers have to speed up the design process even with increasing complexity of the control tasks. This thesis aims to explore the capabilities of model-based software design on such systems. After an introduction to real-time systems and model-based design process, a cross-development platform was implemented on two popular target hardware systems. For this purpose Matlab/Simulink was chosen. The experiences made during the development of application examples on both systems are documented. Finally, a concrete signal processing algorithm for a recently developed acoustic sensor for injection molding machines was implemented and tested under real-time conditions.