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Model-based synthesis of digital electronic circuits for embedded control (MOBY-DIC)
Start date: Dec 1, 2009, End date: Nov 30, 2012 PROJECT  FINISHED 

Description To develop a unique paradigm for the design of embedded control systems that will reduce the gap between control and circuit worlds and reduce the costs in automotive productsEmbedded integrated circuits (ICs) are a larger market segment than embedded software and embedded boards. A functionality of paramount importance in embedded systems is their capability to connect with various sensors, actuators, and human interfaces to provide autonomous intelligence in the physical system they are embedded into, such as mobile phones, digital cameras, automobiles, printers, pacemakers, etc. This embedded control functionality is the core element for the combination of the embedded and embedding system to behave properly. As such, highly pervasive and embedded control systems are enablers for much of the high-tech infrastructure that facilitates the lives of many citizens and contributes to their prosperity. Consumer products in our homes, professional equipment, health care, and automotive and transportation systems all heavily rely on embedded control technologies.In spite of the importance of embedded control in daily life, there is a surprising lack of methods to design and deploy embedded control systems in a systematic and efficient manner. There is an abundance of methods for the separate design of the control algorithms eventually embedded into a hardware platform, or to create a suitable hardware platform for the implementation of a given function. However, an automated and integrated design flow from mathematical models of the embedding physical system to electronic circuits is not available at present.The MOBY-DIC project will research and develop a unique paradigm and supporting tool chain for the design of embedded control systems, with the aim of reducing both design costs and time to market, thus helping to provide European manufacturers a competitive advantage. Such reductions are dependent on the characteristics of the final product, but in average a 30%-50% could be achieved for a general purpose case.

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