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» Modeling Sensorimotor Learning with Linear Dynamical Systems
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133
Voted
STOC
1995
ACM
126views Algorithms» more  STOC 1995»
15 years 7 months ago
A computational view of population genetics
This paper contributes tothe study of nonlinear dynamical systems from a computational perspective. These systems are inherently more powerful than their linear counterparts (such...
Yuval Rabani, Yuri Rabinovich, Alistair Sinclair
130
Voted
CDC
2010
IEEE
151views Control Systems» more  CDC 2010»
14 years 10 months ago
Convergence of discrete-time approximations of constrained linear-quadratic optimal control problems
Abstract-- Continuous-time linear constrained optimal control problems are in practice often solved using discretization techniques, e.g. in model predictive control (MPC). This re...
Lanshan Han, M. Kanat Camlibel, Jong-Shi Pang, W. ...
168
Voted
PODC
2009
ACM
16 years 4 months ago
Load balancing without regret in the bulletin board model
We analyze the performance of protocols for load balancing in distributed systems based on no-regret algorithms from online learning theory. These protocols treat load balancing a...
Éva Tardos, Georgios Piliouras, Robert D. K...
139
Voted
JCP
2008
144views more  JCP 2008»
15 years 3 months ago
A Neural Network Controller for Trajectory Control of Industrial Robot Manipulators
This paper addresses the issue of trajectory tracking control based on a neural network controller for industrial manipulators. A new control scheme is proposed based on neural net...
Zhao-Hui Jiang, Taiki Ishida
126
Voted
MP
2002
110views more  MP 2002»
15 years 3 months ago
Robust optimization - methodology and applications
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
Aharon Ben-Tal, Arkadi Nemirovski