Rafael Quintanilla

Learn More
Temperature estimation and prediction are critical for online regulation of temperature and hot spots on today's high performance processors. In this paper, we present a new method, called FRETEP, to accurately estimate and predict the full-chip temperature at runtime under more practical conditions where we have inaccurate thermal model, less accurate(More)
This paper proposes a new thermal modeling method for package design of high-performance microprocessors. The new approach builds the thermal behavioral models from the given accurate temperature and power information by means of the subspace method. The subspace method, however, may suffer predictability problem when the practical power is given as a(More)
This paper considers iterative learning control applied to a mass-damper system subject to dry friction. The dry friction nonlinearity is discontinuous, and therefore poses challenges to the conventional learning control methods. We apply the passivity based analysis in learning control and show that it is applicable to the case with velocity output. In the(More)
  • 1