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» A moving horizon scheme for distributed state estimation
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CDC
2009
IEEE
164views Control Systems» more  CDC 2009»
13 years 8 months ago
Kalman filter based estimation of flow states in open channels using Lagrangian sensing
In this article, we investigate real-time estimation of flow states, average velocity and stage (water depth), in open channels using the measurements obtained from Lagrangian sens...
Mohammad Rafiee, Qingfang Wu, Alexandre M. Bayen
ICDE
2005
IEEE
107views Database» more  ICDE 2005»
14 years 8 months ago
Venn Sampling: A Novel Prediction Technique for Moving Objects
Given a region qR and a future timestamp qT, a "range aggregate" query estimates the number of objects expected to appear in qR at time qT. Currently the only methods fo...
Yufei Tao, Dimitris Papadias, Jian Zhai, Qing Li
IAT
2009
IEEE
14 years 1 months ago
Introducing Communication in Dis-POMDPs with Finite State Machines
Distributed Partially Observable Markov Decision Problems (DisPOMDPs) are emerging as a popular approach for modeling sequential decision making in teams operating under uncertain...
Yuki Iwanari, Makoto Tasaki, Makoto Yokoo, Atsushi...
IOR
2006
163views more  IOR 2006»
13 years 7 months ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja
CDC
2008
IEEE
142views Control Systems» more  CDC 2008»
14 years 1 months ago
Asynchronous distributed optimization with minimal communication
— We consider problems where multiple agents must cooperate to control their individual state so as to optimize a common objective while communicating with each other to exchange...
Minyi Zhong, Christos G. Cassandras