CQFD - 2012 - Annual activity report

CQFD

CQFD - 2012

Project-Team Cqfd

Members

Overall Objectives

Presentation
Highlights of the Year

Scientific Foundations

Introduction
Main research topics

Application Domains

Dependability and safety

New Results

Singularly Perturbed Discounted Markov Control Processes in a General State Space
The expected total cost criterion for Markov decision processes under constraints: a convex analytic approach.
Approximation of Infinite Horizon Discounted Cost Markov Decision Processes
Continuous Control of Piecewise Deterministic Markov Processes with Long Run Average Cost
Optimal stopping for partially observed piecewise-deterministic Markov processes
Predictive maintenance for the heated hold-up tank
Efficient simulation of the availability of a feedwater control system
Stochastic control for underwater optimal trajectories
Statistical study od asymmetry in cell lineage data
Random coefficient bifurcating autoregressive processes
Hidden Markov Model for the detection of a degraded state in an optronic equipment
Predictive maintenance for an optronic equipment
Non parametric estimation of the jump rate for non-homogeneous marked renewal processes
Non parametric estimation of conditional distribution of the interjumping times for piecewise Markov processes
Stochastic modelling and simulation of fatigue crack propagation using piecewise-deterministic Markov processes
Statistical Analysis of Grapevine Mortality Associated with Esca or Eutypa Dieback Foliar Expression
MonteCarlo test for two patterns of point processes on a grid
Multivariate Analysis for the detection of the effect of a treatment
A hidden renewal model for monitoring aquatic systems biosensors
A recursive nonparametric estimator for the transition kernel of a piecewise-deterministic Markov process
A new sliced inverse regression method for multivariate response
Comparison of kernel density estimators with assumption on number of modes
A new approach on recursive and non-recursive SIR methods
On the asymptotic behavior of the Nadaraya-Watson estimator associated with the recursive SIR method
Comparison of sliced inverse regression approaches for underdetermined cases
Orthogonal rotation in PCAMIX
A sliced inverse regression approach for data stream
ClustOfVar: An R Package for the Clustering of Variables
Divisive Monothetic Clustering for Interval and Histogram-valued Data
Classification of EEG signals by an evolutionary algorithm
Variable selection by genetic algorithm for the study of alertness states.
Handling Missing Values with Regularized Iterative Multiple Correspondence Analysis

Bilateral Contracts and Grants with Industry

Astrium
DCNS
EDF Approdyn
Thales Optronique
LyRE

Partnerships and Cooperations

Regional Initiatives
National Initiatives
International Initiatives
International Research Visitors

Dissemination

Editorial activities
Scientific responsibilities
Organization of workshops and conferences
Administration of the universities and research institutes
Scientific Animation
Teaching - Supervision - Juries

Bibliography

Major publications
Publications of the year
References in notes

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Section: Bilateral Contracts and Grants with Industry

DCNS

Participants : Benoîte de Saporta, François Dufour, Huilong Zhang.

In september 2010, an industrial collaboration started with DCNS on the application of Markov Decision Processes to optimal stochastic control of a submarine to maximize the acoustic signature of a target vessel. In 2012, we extended our previous results to multiple target vessels and 3D control. We also coupled our code with the output of a tracking software to take more realistically into account the uncertainty on the position and speed of the targets. This work gave rise to a new technical report [54] and a presentation in an international conference [35] .

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