
handle: 2328/26289 , 2328/26290
Summary: We study a class of optimal stochastic control problems involving two different time scales. The fast mode of the system is represented by deterministic state equations whereas the slow mode of the system corresponds to a jump disturbance process. Under a fundamental ``ergodicity'' property for a class of ``infinitesimal control systems'' associated with the fast mode, we show that there exists a limit problem that provides a good approximation to the optimal control of the perturbed system. Both the finite- and infinite-discounted horizon cases are considered. We show how an approximate optimal control law can be constructed from the solution of the limit control problem. In the particular case where the infinitesimal control systems possess the so-called turnpike property, i.e., are characterized by the existence of global attractors, the limit control problem can be given an interpretation related to a decomposition approach.
Optimization, fast mode, Manufacturing Systems, jump disturbances, Differential-Inclusions, Limits, Markov Control-Problems, Tracking, hybrid piecewise deterministic control systems, Perturbations, approximation of optimal control, 510, Dynamics, Stochastic Modelling, Slow, Time-scale analysis and singular perturbations in control/observation systems, slow mode, Optimal stochastic control, Sensitivity, stability, well-posedness, Mathematics
Optimization, fast mode, Manufacturing Systems, jump disturbances, Differential-Inclusions, Limits, Markov Control-Problems, Tracking, hybrid piecewise deterministic control systems, Perturbations, approximation of optimal control, 510, Dynamics, Stochastic Modelling, Slow, Time-scale analysis and singular perturbations in control/observation systems, slow mode, Optimal stochastic control, Sensitivity, stability, well-posedness, Mathematics
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