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ISCA
2008
IEEE
137views Hardware» more  ISCA 2008»
14 years 3 months ago
Self-Optimizing Memory Controllers: A Reinforcement Learning Approach
Efficiently utilizing off-chip DRAM bandwidth is a critical issue in designing cost-effective, high-performance chip multiprocessors (CMPs). Conventional memory controllers deli...
Engin Ipek, Onur Mutlu, José F. Martí...
ECCV
2010
Springer
13 years 11 months ago
Learning PDEs for Image Restoration via Optimal Control
Partial differential equations (PDEs) have been successfully applied to many computer vision and image processing problems. However, designing PDEs requires high mathematical skill...
AUTOMATICA
2007
103views more  AUTOMATICA 2007»
13 years 9 months ago
Adaptive learning control of linear systems by output error feedback
: This paper addresses the problem of designing an output error feedback tracking control for single-input, single-output, minimum phase, observable linear systems. The reference o...
Stefano Liuzzo, Riccardo Marino, Patrizio Tomei
TSMC
2002
100views more  TSMC 2002»
13 years 8 months ago
Repetitive learning control: a Lyapunov-based approach
In this paper, a learning-based feedforward term is developed to solve a general control problem in the presence of unknown nonlinear dynamics with a known period. Since the learn...
Warren E. Dixon, Erkan Zergeroglu, Darren M. Dawso...
ALP
1992
Springer
14 years 1 months ago
Definitional Trees
Rewriting is a computational paradigm that specifies the actions, but not the control. We introduce a hierarchical structure repreat a high level of abstraction, a form of control....
Sergio Antoy