Embedded Model Predictive Control for System-on-a-chip Applications

We propose a framework for embedding model predictive control for Systems-on-a-Chip applications. In order to allow the implementation of such a computationally expensive controller on chip, we propose reducing the precision of the operations coupled with using logarithmic number system arithmetic. Two particular control problems are examined. We provide the methodology for choosing the design parameters; we emulate the performance of the embedded controller for the examined cases and we give the microprocessor architecture details.