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CDC
2009
IEEE
147views Control Systems» more  CDC 2009»
15 years 11 months ago
A simulation-based method for aggregating Markov chains
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
CDC
2009
IEEE
147views Control Systems» more  CDC 2009»
15 years 11 months ago
On a small gain theorem for networks of iISS systems
— This paper considers networks consisting of integral input-to-state stable (iISS) subsystems and addresses the problem of verifying iISS property of a given network. First, we ...
Hiroshi Ito, Sergey Dashkovskiy, Fabian Wirth
CDC
2009
IEEE
117views Control Systems» more  CDC 2009»
15 years 11 months ago
Information dissemination in networks via linear iterative strategies over finite fields
— Given an arbitrary network of interconnected nodes, each with an initial value from a discrete set, we consider the problem of distributively disseminating these initial values...
Shreyas Sundaram, Christoforos N. Hadjicostis
167
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CDC
2009
IEEE
15 years 11 months ago
Metrics on the space of bounded Keplerian orbits and space situational awareness
— A main difficulty for orbit determination of space debris is the correlation of tracks of data belonging to the same physical object. A sequence of optical measurements of an ...
Jared M. Maruskin, Daniel J. Scheeres
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 11 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
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