Skip to Main content Skip to Navigation
Journal articles

Some applications of linear programming formulations in stochastic control

Dan Goreac 1 Oana Silvia Serea 2 
1 PS
LAMA - Laboratoire d'Analyse et de Mathématiques Appliquées
Abstract : We present two applications of the linearization techniques in stochastic optimal control. In the first part, we show how the assumption of stability under concatenation for control processes can be dropped in the study of asymptotic stability domains. Generalizing Zubov's method, the stability domain is then characterized as some level set of a semicontinuous generalized viscosity solution of the associated Hamilton-Jacobi-Bellman equation. In the second part, we extend our study to unbounded coefficients and apply the method to obtain a linear formulation for control problems whenever the state equation is a stochastic variational inequality.
Complete list of metadata
Contributor : Admin Lama Connect in order to contact the contributor
Submitted on : Friday, November 30, 2012 - 4:56:02 PM
Last modification on : Friday, August 5, 2022 - 2:41:30 PM

Links full text



Dan Goreac, Oana Silvia Serea. Some applications of linear programming formulations in stochastic control. Journal of Optimization Theory and Applications, Springer Verlag, 2012, 155 (2), pp.572-593. ⟨10.1007/s10957-012-0080-z⟩. ⟨hal-00759473⟩