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IEEECIT
2005
IEEE
15 years 3 months ago
Feedback Scheduling for Resource-Constrained Real-time Control Systems
Subject to limited computational resource, feedback scheduling aims to improve, or to optimize, the global control performance of real-time control systems. For the system that co...
Pingfang Zhou, Jianying Xie
ICMLA
2008
14 years 11 months ago
Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks
In this paper, a grey neuro-adaptive control algorithm is suggested for Antilock Braking Systems (ABS). The concept of grey system theory, which has a certain prediction capabilit...
Erdal Kayacan, Yesim Oniz, Okyay Kaynak, Andon V. ...
ICAC
2007
IEEE
15 years 4 months ago
Approximation Modeling for the Online Performance Management of Distributed Computing Systems
—A promising method of automating management tasks in computing systems is to formulate them as control or optimization problems in terms of performance metrics. For an online op...
Dara Kusic, Nagarajan Kandasamy, Guofei Jiang
ICML
1997
IEEE
15 years 10 months ago
Predicting Multiprocessor Memory Access Patterns with Learning Models
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
AR
2006
107views more  AR 2006»
14 years 10 months ago
Control and system identification for the Berkeley lower extremity exoskeleton (BLEEX)
The Berkeley lower extremity exoskeleton (BLEEX) is an autonomous robotic device whose function is to increase the strength and endurance of a human pilot. In order to achieve an e...
Justin Ghan, Ryan Steger, Hami Kazerooni