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ICASSP
2011
IEEE
12 years 11 months ago
Predictive modeling of the spatiotemporal evolution of an environmental hazard and its sensor network implementation
Predicting accurately the spatiotemporal evolution of a diffusive environmental hazard is of paramount importance for its effective containment. We approximate the front line of a...
Dimitris V. Manatakis, Elias S. Manolakos
SASO
2008
IEEE
14 years 1 months ago
Empirical Characterization of Discretization Error in Gradient-Based Algorithms
Many self-organizing and self-adaptive systems use the biologically inspired “gradient” primitive, in which each device in a network estimates its distance to the closest devi...
Jonathan Bachrach, Jacob Beal, Joshua Horowitz, Da...
AUTOMATICA
2005
103views more  AUTOMATICA 2005»
13 years 7 months ago
Incorporating state estimation into model predictive control and its application to network traffic control
Model predictive control (MPC) is of interest because it is one of the few control design methods which preserves standard design variables and yet handles constraints. MPC is nor...
Jun Yan, Robert R. Bitmead
CMSB
2007
Springer
14 years 1 months ago
A Unifying Framework for Modelling and Analysing Biochemical Pathways Using Petri Nets
We give a description of a Petri net-based framework for modelling and analysing biochemical pathways, which unifies the qualitative, stochastic and continuous paradigms. Each per...
David Gilbert, Monika Heiner, Sebastian Lehrack
NECO
2007
129views more  NECO 2007»
13 years 7 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe