Patent ID: 8380646
Filing Date: 2013-02-19
Classification: G05B

Abstract:
1. A method of computer-assisted learning of control and/or feedback control of a technical system, wherein an operation of the technical system is based upon states, the technical system adopting the states during the operation, and actions which are executed during the operation of the technical system and transform a state of the technical system into a subsequent state, comprising: learning a quality function and an action-selecting rule based upon training data comprising states, actions and subsequent states detected during the operation of the technical system; modeling an optimal operation of the technical system by the quality function; indicating an action that should preferably be carried out for a state of the technical system by the action-selecting rule during the operation of the technical system; determining a measure of a statistical uncertainty of the quality function by an uncertainty propagation during the learning of the quality function and the action-selecting rule; determining a modified quality function as a function of the measure of the statistical uncertainty and a safety parameter corresponding to a statistical minimum requirement of the quality function, the uncertainty propagation using a covariance matrix in which non-diagonal elements are ignored; and learning the action-selecting rule based upon the modified quality function.