Abstract: A global system model equation including model equations, which contain parameters, of individual components that form the global system. The parameters of the individual components are detected using sensor values from the sensors that are allocated to the individual components and it is determined whether it is possible to adapt the parameters to the sensor values and to solve the global system model equation.

Abstract: A method establishes a global system model equation including model equations, which contain parameters, of individual components that form the global system. According to said method, the parameters of the individual components are detected using sensor values from the sensors that are allocated to the individual components and it is determined whether it is determined whether it is possible to adapt the parameters to the sensor values and to solve the global system model equation.

Abstract: In a method for designing a technical system, a technical system is modeled by a predetermined quantity of target functions depending on parameters, each individual target function being weighted with a weighting factor. The method solves a system of equations comprising the parameters and the weighting factors as variables in a variable space, solutions of the system of equations forming working points of a solution space in the variable space. The working points are determined by a predictor-corrector method, according to which a predictor produced by a stochastic variable is determined in the variable space, from a first working point, and a second working point is then determined in a correcting step. The determined working points are used to design the technical system. The method can be used to redesign, modify or adapt an already existing technical system.

Abstract: A method for adaptively generating a series of random numbers of a 1/f noise is based on the use of normally distributed random numbers. The method enables a need-oriented generation of random numbers of the 1/f noise, whereby additional random numbers of the 1/f noise are also possible during a simulation calculation.

Abstract: In a method for designing a technical system, a technical system is modeled by a predetermined quantity of target functions depending on parameters, each individual target function being weighted with a weighting factor. The method solves a system of equations comprising the parameters and the weighting factors as variables in a variable space, solutions of the system of equations forming working points of a solution space in the variable space. The working points are determined by a predictor-corrector method, according to which a predictor produced by a stochastic variable is determined in the variable space, from a first working point, and a second working point is then determined in a correcting step. The determined working points are used to design the technical system. The method can be used to redesign, modify or adapt an already existing technical system.

Abstract: A specifically designed buffer store (35) is used in a method according to the invention for simulation of a technical system, from which auxiliary result values (H1, H2) of an auxiliary function (25) are read specifically when current values of calling parameters (s1, s2, s?1, s?2) of the auxiliary function (25) match correspondingly stored values of the calling parameters. A simulator (60) according to the invention has a correspondingly specifically designed buffer store (35). The method according to the invention and the simulator according to the invention are in this case based on the discovery that, in many cases, a technical system can be described by a state description which comprises an auxiliary function two or more times and, in particular, with the auxiliary function depending only on some of the state variables of the technical system.

Abstract: A method is for simulating a technical system in a number of simulating steps. in order to resolve an operational description of the technical system, the Jacobi matrix of the description is determined in a single step during each stage of simulation, without the need to resort to the formation of the difference quotients. as aresult, the signal inputs and signal outputs of a dynamic diagram representing the operational description of a technical system are expanded so that derivation data on the repspective signals can be detected according to the individual operational variables of the technical system. A simulator is used for carrying out the inventive method.

Abstract: A computer programmed to process a method for generating a sequence of random numbers of a 1/f noise has the following steps: 1). Determining a constant step &dgr; or instants of consideration t0 to tn; 2). Determining a desired spectral value &bgr;; 3). Determining the number n of the random numbers, to be generated, of a 1/f noise; 4). Determining an intensity constant const; 5). forming a covariance matrix C of dimension (n×n); and 6). Forming the Cholesky decomposition L of the covariance matrix C, with the following steps being carried out for each sequence, to be generated, of random numbers of a 1/f noise: 1). Forming a vector x of length n from random numbers normally distributed in [0,1], and 2). Generating a vector y of length n of the desired 1/f-distributed random numbers by multiplying the Cholesky-decomposition L by the vector x.

Abstract: A method for adaptively generating a series of random numbers of a 1/f noise is based on the use of normally distributed random numbers. The method enables a need-oriented generation of random numbers of the 1/f noise, whereby additional random numbers of the 1/f noise are also possible during a simulation calculation.

Abstract: In the control of a power station installation having a number of power station blocks, in which each power station block is controlled by using at least one reference variable, it is intended to permit reliable determination of especially favorable reference variables while also taking the current installation condition into account. To this end, a management system for the power station installation includes a computer unit which determines reference variables for the power station block or for each of the power station blocks through the use of a genetic algorithm, and an optimization module which is connected to the computer unit. The optimization module is connected to a number of neural networks and one neural network is assigned to each power station block.