The systematic design of automotive control applications is a challenging problem due to lack of understanding of the complex and\r\ntight interactions that often manifest during the integration of components from the control design phase with the components\r\nfrom software generation and deployment on actual platform/network. In order to address this challenge, we present a systematic\r\nmethodology and a toolchain usingwell-definedmodels to integrate components fromvarious design phases with specific emphasis\r\non restricting the complex interactions that manifest during integration such as timing, deployment, and quantization.We present\r\nan experimental platform for the evaluation and testing of the design process. The approach is applied to the development of an\r\nadaptive cruise control, and we present experimental results that demonstrate the efficacy of the approach.
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