Controllability Issues for Randomly Switching Piecewise Linear Markov Processes * *The author wishes to acknowledge support from ANR project PIECE, ANR-12-JS01-0006
Author:
Publisher
Elsevier BV
Subject
Control and Systems Engineering
Reference13 articles.
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2. Confortola, F., Fuhrman, M., and Jacod, J. (2016). Backward stochastic differential equation driven by a marked point process: An elementary approach with an application to optimal control. Ann. Appl. Probab., 26(3), 1743–1773. doi:10.1214/15-AAP1132. URL http://dx.doi.org/10.1214/15-AAP1132.
3. Crudu, A., Debussche, A., and Radulescu, O. (2009). Hybrid stochastic simplifications for multiscale gene networks. BMC Systems Biology, 3:89.
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5. Algebraic invariance conditions in the study of approximate (null-) controllability of Markov switch processes;Goreac;Math. Control Signals Systems,2015
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