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Developing machines capable of positioning and measuring in nano-metre dimensions is an overall challenging endeavour, which not at least includes providing a highly dynamic and precise trajectory tracking control system. To effectively employ such a control system an adequately performing implementation on an embedded real-time processing system is essential for process performance and quality. In this article an implementation study of a Kalman filter component is presented, comparing the solutions for general purpose processor and digital signal processor to a range of designs for field-programmble gate arrays. Evaluating the performance of the respective implementations for a PXI platform and thus indicating the feasibility of industrial and standard-compliant application is the emphasis of this contribution. in the field of 'model-based design of embedded systems' till 2008. Since then, he has been a PhD student in the Collaborative Research Centre 622 'Nanopositioning and Nanomeasuring Machines' with focus on model-based design of high-performance applications on distributed embedded platforms.Johannes Klöckner graduated with a Diploma in

A cost-efficient way to achieve high-accuracy motion control is the utilization of complex control algorithms. Hence advanced motion control constitutes a class of real-time applications, for which the technical feasibility strongly depends on the achievable execution performance on the embedded processing platform. The presented modular controller structure defines a set of advanced control algorithms able minimize the tracking error, even for friction affected kinematics. Transferring the controller design to an implementation-oriented modelling level focuses on minimizing the processing latency in order to realize the required high sample rate. The utilization or even the custom development of a parallel platform becomes inevitable, which is why it is necessary to integrate both, control and embedded platform development processes. The presented process includes controller design, platform mapping and architecture optimization to address the challenge of tailoring an application-specific modular embedded processing platform already on the modelling level before interfacing state-of-the-art tool chains

This paper presents a work in progress on a method to create system level models of networked systems in automotive applications. It introduces an example, that shows a strategy to create models, providing high flexibility in terms of interoperability, field of application, reusability and replaceability. The chosen modeling tool contains a multi-domain simulator and allows a mission and system level design. Beside the exposition of the basic architecture of the model there is a description of various model parts showing the variety of different levels of abstraction. The grade of reuseability of the developed building blocks is very high. Finally a perspective for future extensions towards a general modeling strategy for various networked applications in embedded systems is provided.