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[3] R. Azaïs, F. Dufour and A. Gégout-Petit, Nonparametric estimation of the jump rate for piecewise-deterministic Markov processes, 26 pages. [2] R. Azaïs, F. Dufour and A. Gégout-Petit, Nonparametric estimation of the jump rate for non-homogeneous marked renewal processes, 27 pages. [1] O. Costa and F. Dufour, Average Control of Markov Decision Processes with Feller Transition Probabilities and General Action Space, 17 pages. PUBLISHED PAPERS [40] F. Dufour, M. Horiguchi and A. Piunovskiy, The expected total cost criterion for Markov decision processes under constraints: a convex analytic approach. To appear in Advances in Applied Probability, 24 pages. [39] O. Costa and F. Dufour, Singularly Perturbed Discounted Markov Control Processes in a General State Space. To appear in SIAM Journal of Control and Optimization, 29 pages. [38] A. Brandejsky, B. de Saporta and F. Dufour, Numerical method for expectations of piecewise-deterministic Markov processes, To appear in Communications in Applied Mathematics and Computational Science, 23 pages. [37] F. Dufour and T. Prieto-Rumeau, Approximation of Markov Decision Processes with General State Space. To appear in Journal of Mathematical Analysis and Applications, 19 pages. [36] B. de Saporta and F. Dufour, Numerical method for impulse control of Piecewise Deterministic Markov Processes. To appear in Automatica, 24 pages. [35] A. Brandejsky, B. de Saporta and F. Dufour, Numerical methods for the exit time of a piecewise-deterministic Markov process. To appear in Advances in Applied Probability, 23 pages. [34] B. de Saporta, F. Dufour, H. Zhang and C. Elegbede, Optimal stopping for the predictive maintenance of a structure subject to corrosion. To appear in Journal of Risk and Reliability, 29 pages. [33] F. Dufour and R. Stockbridge, On the existence of strict optimal controls for constrained, controlled Markov processes in continuous-time. Stochastics, Vol. 84, No.1, pp. 55-78, 2012. [32] O. Costa and F. Dufour, Singular Perturbation for the discounted continuous control of piecewise deterministic Markov processes. Applied Mathematics and Optimization, Vol. 63, No. 3, pp. 357-384, 2011. [31] F. Dufour and A. Piunovskiy, Multi-objective stopping problem for discrete-time Markov processes, Journal of Applied Probability, Vol. 47, No. 4, pp. 947-966, 2010. [30] O. Costa and F. Dufour, The policy iteration algorithm for average continuous control of piecewise deterministic Markov processes, Applied Mathematics and Optimization, Vol. 62, No. 2, pp. 185-204, 2010. [29] B. de Saporta, F. Dufour and K. Gonzalez, Numerical method for optimal stopping of piecewise deterministic Markov processes, Annals of Applied Probability, Vol. 20, No. 5, pp. 1607–1637, 2010. [28] O. Costa and F. Dufour, Average control of piecewise deterministic Markov processes, SIAM Journal of Control and Optimization, Vol. 48, No. 7, pp. 4262-4291, 2010. [27] O. Costa and F. Dufour, The Vanishing discount approach for the average continuous control of piecewise deterministic Markov processes, Journal of Applied Probability, Vol. 46, No. 4, pp. 1157-1183, 2009. [26] B. Bercu, F. Dufour and G. Yin, Almost sure stabilization for feedback controls of regime-switching linear systems with a hidden Markov chain, IEEE Transactions on Automatic Control, Vol. 54, No. 9, pp. 2114-2125, 2009. [25] H. Zhang, K. Gonzales, F. Dufour and Y. Dutuit, Piecewise deterministic Markov processes and dynamic reliability, Journal of Risk and Reliability, Vol. 222, No. 4, pp. 545-551, 2009. [24] O. Costa and F. Dufour, Stability and Ergodicity of Piecewise Deterministic Markov Processes, SIAM Journal of Control and Optimization, Vol. 47, No. 2, pp. 1053-1077, 2008. [23] F. Dufour and B. Miller, Necessary conditions for optimal singular stochastic control problems, Stochastics,Vol. 79, No. 5, pp. 469-504, 2007. [22] O. Costa and F. Dufour, Ergodic properties and ergodic decompositions of continuous-time Markov processes, Journal of Applied Probability, Vol. 43, No. 3, pp. 767-781, 2006. [21] F. Dufour and B. Miller, Maximum principle for singular stochastic control problems, SIAM Journal of Control andOptimization, Vol. 45, No. 2, pp. 668-698, 2006. [20] O. Costa and F. Dufour, Sufficient condition for the existence of an invariant probability measure for Markov processes, Journal of Applied Probability, Vol. 42, No. 3, pp. 873-878, 2005. [19] R. Elliott, F. Dufour and P. Malcom, State and Mode Estimation For Discrete-Time Jump Markov Systems, SIAM Journal of Control and Optimization, Vol. 44, No 3, pp. 1081-1104, 2005. [18] O.L.V. Costa and F. Dufour, On the Ergodic Decomposition for a Class of Markov Chains, Stochastic Processes and their Applications, Vol 115, No. 3, pp. 401-415, 2005. [17] F. Dufour and B. Miller, Singular stochastic control problems, SIAM Journal of Control and Optimization, Vol 43, No. 2, pp. 708-730, 2004. [16] O.L.V. Costa and F. Dufour, On the Poisson equation for piecewise-deterministic Markov processes, SIAM Journal of Control and Optimization, Vol 42, No. 3, pp. 985-1001, 2003. [15] F. Dufour and B. Miller, Generalized solutions in nonlinear stochastic control problems, SIAM Journal of Control and Optimization, Vol 40, No. 6, pp. 1724-1745, 2002. [14] O.L.V. Costa and F. Dufour, Necessary and Sufficient Conditions for Non-Singular Invariant Probability Measures for Feller Markov Chains, Statistics and Probability Letters, Vol 53, pp. 47-57, 2001. [13] S. Allam, F. Dufour and P. Bertrand, Discrete Time Estimation of a Markov Chain with Marked Point Process Observation, IEEE Trans on Automatic Control, Vol. 46, No. 6, pp. 903-908, 2001. [12] O.L.V. Costa and F. Dufour Invariant Probability Measures for a class of Feller Markov Chains, Statistics and Probability Letters, Vol 50, pp. 13-21, 2000. [11] O.L.V. Costa, C.A.B. Raymundo and F. Dufour, Optimal Stopping with Continuous Control of Piecewise-Deterministic Markov Processes, Stochastics and Stochastic Reports, Vol 70, pp. 41-73, 2000. [10] F. Dufour and O. Costa, Stability of Piecewise-deterministic Markov processes, SIAM Journal of Control and Optimization, Vol 37, No. 5, pp. 1483-1502, 1999. [9] F. Dufour and R. Elliott, Filtering with discrete state observations, Applied Mathematics and Optimization, Vol 40, pp. 259-272, 1999. [8] F. Dufour and D. Kannan, Discrete time nonlinear filtering with marked point process observations, J. Stochastic Analysis and Applications, Vol 17, No. 1, pp. 99-115, 1999. [7] F. Dufour and R. Elliott Adaptive control of linear systems with Markov perturbations, IEEE Transactions on Automatic Control, Vol. 43, No. 3, pp. 351-372, 1998. [6] F. Bernard, F. Dufour and P. Bertrand, On the JLQ Problem with Uncertainty, IEEE Transactions on Automatic Control, Vol. 42, No. 6, pp. 869-872, 1997. [5] R. Elliott, F. Dufour and D. Sworder, Exact Hybrid Filters in discrete time, IEEE Transactions on Automatic Control, Vol. 41, No. 12, pp. 1807-1810, 1996. [4] F. Dufour and P. Bertrand, An Image Based Filter for Discrete-time Markovian Jump Linear Systems, Automatica, Vol. 32, No. 2, pp. 241-247, 1996. [3] F. Dufour and P. Bertrand, The Filtering Problem for Continuous-time Linear Systems with Markovian Switching Coefficients, Systems & Control Letters, Vol. 23, No. 6, pp. 453-461, 1994. [2] F. Dufour and P. Bertrand, Stabilizing Control Law for Hybrid Models, IEEE Transactions on Automatic Control, Vol. 39, No. 11, pp. 2354-2357, 1994. [1] F. Dufour and M. Mariton, Tracking a 3D Maneuvring Target with Passive Sensors, IEEE Transactions on Aerospace and Electronic Systems, Vol. 27, No. 4, pp. 725-739, 1991. |