Hierarchical optimal control with random resource constraints

We consider a method for solving the problem of optimal control of a composite dynamic system with random resource constraints. The method is based on the method of hierarchical optimization, which includes iterative solution of local problems and the coordination problem. To solve local problems, we apply the model predictive control. Taking into account random resource constraints leads to the solution of one-stage problems of stochastic programming.