Auto-code generation for fast embedded model predictive controllers

The implementation of model predictive controllers on low-cast hardware such as micro-controllers has been traditionally hampered by the high computing and associated memory demands of the algorithm. This paper describes a completely automatic way to implement an MPC controller on embedded hardware...

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Bibliographic Details
Main Authors: Currie, J (Author), Prince-Pike, A (Author), Wilson, DI (Author)
Other Authors: Xu, P (Contributor), Moir, T (Contributor), Potgieter, J (Contributor), Alam, F (Contributor)
Format: Others
Published: IEEE, 2012-12-16T22:48:38Z.
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Summary:The implementation of model predictive controllers on low-cast hardware such as micro-controllers has been traditionally hampered by the high computing and associated memory demands of the algorithm. This paper describes a completely automatic way to implement an MPC controller on embedded hardware starting from a dynamic model in \ml. The resultant controller runs stand-alone on the embedded hardware, is extremely fast, exhibits a modest memory footprint and best of all, requires no particular embedded programming experience from the user.
Item Description:19th International Conference in Mechatronics and Machine Vision in Practice held at AUT, Auckland, New Zealand, 2012-11-28 to 2012-11-30, published in: 19th International Conference in Mechatronics and Machine Vision in Practice, pp.122 - 128 (6)
978-047320485-3