Patent ID: 7277831

Claim:
A method performed on a computer for detecting modes of a dynamic system in a physical, chemical or biological process with a multiplicity of modes s i that each have a set α(t) of characteristic system parameters comprising the steps of: performing a switch segmentation of a time series of at least one system variable x(t), in which the switch segmentation is a simulation of a training time series of the system or of the time series to be investigated with several, competing prediction models, detecting predetermined prediction models f i for system modes s i for each system variable x(t) in each time segment of a predetermined minimum length, deriving a system model by performing a drift segmentation subsequent to said switch segmentation in which, in each time segment in which there is a transition of the system from a first system mode s i to a second system mode s j , a series of mixed prediction models g i is detected and produced by linear, paired superimposition of prediction models f i,j of the two system modes s i,j , detecting a current system mode corresponding to a current state of the dynamic system; and applying the derived system model to the detected current system mode to determine a state of the dynamic system in the physical, chemical or biological process, that directly follows the current state.