Software and hardware code generation for predictive control using splitting methods

التفاصيل البيبلوغرافية
العنوان: Software and hardware code generation for predictive control using splitting methods
المؤلفون: Shukla, H, Khusainov, B, Kerrigan, EC, Jones, CN
المساهمون: Commission of the European Communities
المصدر: IFAC World Congress 2017
بيانات النشر: IFAC / Elsevier, 2017.
سنة النشر: 2017
مصطلحات موضوعية: Hardware-software co-design, Embedded computer architectures, Model predictive and optimization-based control, Splitting methods, Hardware-in-the-loop simulation
الوصف: This paper presents SPLIT, a C code generation tool for Model Predictive Control (MPC) based on operator splitting methods. In contrast to existing code generation packages, SPLIT is capable of generating both software and hardware-oriented C code to allow quick prototyping of optimization algorithms on conventional CPUs and field-programmable gate arrays (FPGAs). A Matlab interface is provided for compatibility with existing commercial and open-source software packages. A numerical study compares software, hardware and heterogeneous implementations of splitting methods and investigates MPC design trade-offs. For the considered testcases the reported speedup of hardware implementations over software realizations is 3x to 11x.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______1032::b9ad9d8c6dea2db5d09fb5b1be8cfbd0
http://hdl.handle.net/10044/1/45093
حقوق: OPEN
رقم الأكسشن: edsair.od......1032..b9ad9d8c6dea2db5d09fb5b1be8cfbd0
قاعدة البيانات: OpenAIRE