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AUTOMATICA
2005
112views more  AUTOMATICA 2005»
13 years 5 months ago
Robust maximum-likelihood estimation of multivariable dynamic systems
This paper examines the problem of estimating linear time-invariant state-space system models. In particular it addresses the parametrization and numerical robustness concerns tha...
Stuart Gibson, Brett Ninness
AMC
2008
99views more  AMC 2008»
13 years 5 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik
ANOR
2005
128views more  ANOR 2005»
13 years 5 months ago
Expectation-Stock Dynamics in Multi-Agent Fisheries
In this paper we consider a game-theoretic dynamic model describing the exploitation of a renewable resource. Our model is based on a Cournot oligopoly game where n profit-maximizi...
Gian Italo Bischi, Michael Kopel, Ferenc Szidarovs...
INFOCOM
1995
IEEE
13 years 9 months ago
Dynamic Behavior of Feedback Congestion Control Schemes
This paper examines the asymptotic behavior of solutions of a simple network model using feedback control under the presence of delays. It shows numerically the existence of compl...
Giampiero Pecelli, B. G. Kim
SIAMADS
2010
100views more  SIAMADS 2010»
13 years 15 days ago
Optimal Intrinsic Dynamics for Bursting in a Three-Cell Network
Previous numerical and analytical work has shown that synaptic coupling can allow a network of model neurons to synchronize despite heterogeneity in intrinsic parameter values. In ...
Justin R. Dunmyre, Jonathan E. Rubin