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» Modeling Sensorimotor Learning with Linear Dynamical Systems
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STOC
1995
ACM
126views Algorithms» more  STOC 1995»
13 years 11 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
CDC
2010
IEEE
151views Control Systems» more  CDC 2010»
13 years 2 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. ...
PODC
2009
ACM
14 years 8 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...
JCP
2008
144views more  JCP 2008»
13 years 7 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
MP
2002
110views more  MP 2002»
13 years 7 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