Adaptive Stochastic Controller for Dynamic Treatment of Cyber-Physical Systems

A method for generating a dynamic treatment control policy for a cyber-physical system having one or more components, where one or more available actions on each of the one or more components can be taken, comprising:

• generating a predicted value corresponding to the one or more available actions based on an objective function and using one or more models using data representative of the cyber-physical system;
• receiving one or more actual operation metrics at an approximate dynamic programming element, the actual operation metrics corresponding one or more executed actions, the one or more executed actions corresponding to one of the one or more available actions;
• learning a state-action map with the approximate dynamic programming element using the actual operation metrics;
• and
• generating a dynamic treatment control policy using the predicted value and the one or more models.