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CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
15 years 8 months ago
Iterative Risk Allocation: A new approach to robust Model Predictive Control with a joint chance constraint
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...
Masahiro Ono, Brian C. Williams
118
Voted
JMLR
2006
143views more  JMLR 2006»
15 years 2 months ago
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
Rémi Munos
110
Voted
NIPS
2008
15 years 3 months ago
Optimal Response Initiation: Why Recent Experience Matters
In most cognitive and motor tasks, speed-accuracy tradeoffs are observed: Individuals can respond slowly and accurately, or quickly yet be prone to errors. Control mechanisms gove...
Matt Jones, Michael C. Mozer, Sachiko Kinoshita
ROBIO
2006
IEEE
123views Robotics» more  ROBIO 2006»
15 years 8 months ago
Evolutionary Robotics, Anticipation and the Reality Gap
— Evolutionary Robotics provide efficient tools and approach to address automatic design of controllers for automous mobile robots. However, the computational cost of the optimi...
Cédric Hartland, Nicolas Bredeche
134
Voted
CDC
2010
IEEE
151views Control Systems» more  CDC 2010»
14 years 9 months ago
On the optimal solutions of the infinite-horizon linear sensor scheduling problem
This paper studies the infinite-horizon sensor scheduling problem for linear Gaussian processes with linear measurement functions. Several important properties of the optimal infin...
Wei Zhang, Michael P. Vitus, Jianghai Hu, Alessand...