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» The Dependence of Effective Planning Horizon on Model Accura...
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84
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ML
2002
ACM
143views Machine Learning» more  ML 2002»
14 years 10 months ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
92
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AUTOMATICA
2005
108views more  AUTOMATICA 2005»
14 years 10 months ago
Enlarging the domain of attraction of MPC controllers
This paper presents a method for enlarging the domain of attraction of nonlinear model predictive control (MPC). The usual way of guaranteeing stability of nonlinear MPC is to add...
Daniel Limón, T. Alamo, Eduardo F. Camacho
96
Voted
ICRA
2007
IEEE
159views Robotics» more  ICRA 2007»
15 years 4 months ago
Combined Trajectory Planning and Gaze Direction Control for Robotic Exploration
— In this paper, a control scheme that combines trajectory planning and gaze direction control for robotic exploration is presented. The objective is to calculate the gaze direct...
Georgios Lidoris, Kolja Kühnlenz, Dirk Wollhe...
74
Voted
IQ
2007
14 years 11 months ago
Simulations Of Error Propagation For Prioritizing Data Accuracy Improvement Efforts
: Models of the association between input accuracy and output accuracy imply that, for any given application, the effect of input errors on the output error rate generally varies i...
Irit Askira Gelman
77
Voted
DATE
2010
IEEE
261views Hardware» more  DATE 2010»
15 years 3 months ago
Evaluation and design exploration of solar harvested-energy prediction algorithm
Abstract—To respond to variations in solar energy, harvestedenergy prediction is essential to harvested-energy management approaches. The effectiveness of such approaches is depe...
Mustafa Imran Ali, Bashir M. Al-Hashimi, Joaqu&iac...