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Maximizing the probability of attaining a target prior to extinction Chatterjee D. et al Nonlinear Analysis: Hybrid Systems 5 (2011) 367-381 [hal-00793042 - version 1]

Convexity and convex approximations of discrete-time stochastic control problems with constraints Cinquemani E. et al Automatica 47 (2011) 2082-2087 [hal-00793041 - version 1]

Learning the structure of genetic network dynamics : A geometric approach Porreca R. et al Proceedings of the 18th IFAC World Congress, Italie (2011) [hal-00793040 - version 1]

Stochastic MPC with imperfect state information and bounded controls Hokayem P. et al Proceedings of the UKACC International Conference on Control, Royaume-Uni (2010) [hal-00793028 - version 1]

Stochastic receding horizon control with output feedback and bounded control inputs Hokayem P. et al Proceedings of the 49th IEEE Conference on Decision and Control (CDC 2010), États-Unis (2010) [hal-00793027 - version 1]

Structural identification of unate-like genetic network models from time-lapse protein concentration measurements Porreca R. et al Proceedings of the 49th IEEE Conference on Decision and Control (CDC 2010), États-Unis (2010) [hal-00793026 - version 1]

Identification of genetic network dynamics with unate structure Porreca R. et al Bioinformatics 26 (2010) 1239-1245 [hal-00793025 - version 1]

STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES Bernard O. et al In Wastewater Quality Monitoring and Wastewater Quality Monitoring and Treatment (2006) [inria-00122496 - version 1]

Probabilistic Observers for a Class of Uncertain Biological Processes Chachuat B. et al International Journal of Robust and Nonlinear Control 16 (2005) 157-171 [inria-00122551 - version 1]

Can we assess the model complexity for a bioprocess ? Theory and example of the anaerobic digestion process Bernard O. et al Water science and technology : a journal of the International Association on Water Pollution Research. 53 (2005) 85-92 [inria-00122500 - version 1]