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AUTOMATICA
2010
98views more  AUTOMATICA 2010»
15 years 6 months ago
Explicit use of probabilistic distributions in linear predictive control
: The guarantee of feasibility given feasibility at initial time is an issue that has been overlooked by many of the recent papers on stochastic model predictive control. Effective...
Basil Kouvaritakis, Mark Cannon, Sasa V. Rakovic, ...
LCN
2006
IEEE
16 years 16 days ago
A Congestion-aware Medium Access Control Protocol for Multi-rate Ad-hoc Networks
This paper investigates the problem of how to improve TCP performance in multi-rate Ad-hoc networks with congested links. To improve network performance, different rate adaptation...
Timo Zauner, Luke Haslett, Wen Hu, Sanjay Jha, Cor...
INFOCOM
1998
IEEE
15 years 10 months ago
A Stochastic Approximation Approach for Max-Min Fair Adaptive Rate Control of ABR Sessions with MCRs
The ABR sessions in an ATM network share the bandwidth left over after guaranteeing service to CBR and VBR traffic. Hence the bandwidth available to ABR sessions is randomly varyi...
Santosh Paul Abraham, Anurag Kumar
ICNC
2009
Springer
16 years 1 months ago
Model-Free Learning and Control in a Mobile Robot
A model-free, biologically-motivated learning and control algorithm called S-learning is described as implemented in an Surveyor SRV-1 mobile robot. S-learning demonstrated learni...
Brandon Rohrer, Michael Bernard, J. Daniel Morrow,...
ICRA
2005
IEEE
111views Robotics» more  ICRA 2005»
16 years 3 days ago
Game Theoretic Control for Robot Teams
— In the real world, noisy sensors and limited communication make it difficult for robot teams to coordinate in tightly coupled tasks. Team members cannot simply apply single-ro...
Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jef...