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CDC
2010
IEEE
106views Control Systems» more  CDC 2010»
15 years 1 months ago
Optimal cross-layer wireless control policies using TD learning
We present an on-line crosslayer control technique to characterize and approximate optimal policies for wireless networks. Our approach combines network utility maximization and ad...
Sean P. Meyn, Wei Chen, Daniel O'Neill
AUTOMATICA
2008
78views more  AUTOMATICA 2008»
15 years 6 months ago
A mathematical framework for the control of piecewise-affine models of gene networks
This article introduces results on the control of gene networks, in the context of piecewise-affine models. We propose an extension of this well-documented class of models, where ...
Etienne Farcot, Jean-Luc Gouzé
IPL
2006
100views more  IPL 2006»
15 years 6 months ago
Strong normalization proofs by CPS-translations
In this paper, we propose a new proof method for strong normalization of calculi with control operators, and, by this method, we prove strong normalization of the system
Satoshi Ikeda, Koji Nakazawa
HYBRID
2010
Springer
15 years 8 months ago
Receding horizon control for temporal logic specifications
In this paper, we describe a receding horizon scheme that satisfies a class of linear temporal logic specifications sufficient to describe a wide range of properties including saf...
Tichakorn Wongpiromsarn, Ufuk Topcu, Richard M. Mu...
CAISE
2006
Springer
15 years 10 months ago
Controlling the Level of Business Process Instance Flexibility via Rules of Planning
When an organization decides on the level of flexibility in handling business process instances, it needs to impose this level in operational practice. The way of imposing a given ...
Ilia Bider, Alexey Striy