Patent ID: 8566264

Claim:
A method for computer-aided control and/or regulation of a technical system, comprising: receiving from a technical system a plurality of state variables having a first state space with a first dimension for a plurality of points in time, the first dimension comprising a high-dimensional state space; reducing the high-dimensional state space with a recurrent neural network by modeling the state of the first state space as a training data using the recurrent neural network with an aid of a plurality of known states, the recurrent neural network comprises: an input layer, a recurrent hidden layer, and an output layer, wherein the input layer and the output layer are formed from the high-dimensional state space in the first state space for the plurality of points in time, and wherein the recurrent hidden layer is formed by a plurality of hidden states with a plurality of hidden state variables, in which a hidden state at time t is coupled via a matrix to a next hidden state at a subsequent point in time t+1, the recurrent hidden layer having a second state space with a second dimension such that the second dimension is lower than the first dimension; and performing a learning and/or optimization method for a regulation of the technical system on the plurality of hidden states in the second state space having a lower dimensional state space than the first state space by executing a plurality of actions on the technical system.