Patent Document ID: 10107205
Application ID: 15023480
Patent Flag: 1

Claim One:
1. A method for controlling, regulating, or controlling and regulating a technical system in a computer-assisted manner, in which dynamic behavior of the technical system is respectively characterized for a plurality of times by a state of the technical system and an action carried out on the technical system in the state, a respective action at a respective time resulting in a new state of the technical system at a next time, and an action sequence being one or more actions to be successively carried out on the technical system in a temporal sequence, a measure of quality with respect to an optimization criterion for operating the technical system being able to be calculated for each action sequence based on the states of the technical system resulting from carrying out the one or more actions in the action sequence, the measure of quality being higher, the better the optimization criterion is satisfied, the method comprising: providing a simulation model of the technical system for predicting the resulting states of the technical system for respective action sequences; determining an action sequence having a highest possible measure of quality at a respective predefined time from a sequence of successive predefined times using a numerical optimization method, the numerical optimization method using the simulation model to predict the resulting states for action sequences generated during the numerical optimization method and to then determine the measure of quality of the generated action sequences using the predicted states; and carrying out one or more actions in the determined action sequence on the technical system, the carrying out comprising changing one or more state variables of the technical system; and operating the technical system based on the one or more changed state variables of the technical system, wherein the numerical optimization method comprises a particle swarm optimization, the particles of which are assigned to respective action sequences randomly determined when initializing the particle swarm optimization and are iteratively changed during the particle swarm optimization by respective speed vectors, the respective speed vectors being determined using a fitness function corresponding to the measure of quality, and wherein the technical system is an electrical energy generation installation.