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MOR
2007
140views more  MOR 2007»
13 years 7 months ago
Adaptive Control Variates for Finite-Horizon Simulation
Adaptive Monte Carlo methods are simulation efficiency improvement techniques designed to adaptively tune simulation estimators. Most of the work on adaptive Monte Carlo methods h...
Sujin Kim, Shane G. Henderson
IJCSA
2007
213views more  IJCSA 2007»
13 years 7 months ago
Adaptive Depth Control for Autonomous Underwater Vehicles Based on Feedforward Neural Networks
This paper studies the design and application of the neural network based adaptive control scheme for autonomous underwater vehicle's (AUV's) depth control system that i...
Yang Shi, Weiqi Qian, Weisheng Yan, Jun Li
RAS
2007
109views more  RAS 2007»
13 years 7 months ago
On point-to-point motion planning for underactuated space manipulator systems
In free-floating mode, space manipulator systems have their actuators turned off, and exhibit nonholonomic behavior due to angular momentum conservation. The system is underactua...
Ioannis Tortopidis, Evangelos Papadopoulos
CVPR
2012
IEEE
11 years 10 months ago
Background segmentation with feedback: The Pixel-Based Adaptive Segmenter
In this paper we present a novel method for foreground segmentation. Our proposed approach follows a nonparametric background modeling paradigm, thus the background is modeled by ...
Martin Hofmann 0011, Philipp Tiefenbacher, Gerhard...
CDC
2008
IEEE
113views Control Systems» more  CDC 2008»
13 years 9 months ago
Robust grey-box closed-loop stop-and-go control
This paper presents a robust stop-and-go control law, especially well adapted to car following scenarios in urban environments. Since many vehicle/road interaction factors (road sl...
Jorge Villagra, Brigitte d'Andréa-Novel, Mi...