Abstract: Disclosed is a method for the computer-assisted modeling of a technical system. One or more output vectors are modeled dependent on one or more input vectors by the learning process of a neural network on the basis of training data of known input vectors and output vectors. Each output vector comprises one or more operating variables of the technical system, and each input vector comprises one or more input variables that influence the operating variable(s). The neural network is a feedforward network with an input layer, a plurality of hidden layers, and an output layer. The output layer comprises a plurality of output clusters, each of which consists of one or more output neurons, the plurality of output clusters corresponding to the plurality of hidden layers. Each output cluster describes the same output vector and is connected to another hidden layer.

Abstract: A method for improving the usability of photovoltaic installations (PV installations) by taking account of shading information of adjacent PV installations for forecasting the power output by a relevant PV installation is provided. In particular, cloud movements and cloud shapes are taken into account. This improves the accuracy of the forecast. Here, it is advantageous that short-term forecasts in relation to e.g. the next 15 minutes are possible and a substitute energy source can be activated accordingly, in good time, prior to a dip in the power output by the PV installation. The invention can be used e.g. in the field of renewable energies, PV installations or smart grids.

Abstract: A predefined operating strategy permits a predefined operating mode of the motor vehicle. A first operating variable value of the operating mode and/or one additional variable value, which is independent of the operating mode are sensed and one estimated value is determined depending thereon, which is representative of one expected value of the one first operating variable of a second operating variable of the operating mode. One predicted value is determined depending on the sensed values of the one first operating variable, the one additional variable, and/or the one determined estimated value. The predicted value represents an expected operating state and is compared with one predefined comparison value, which is representative of one predefined operation state. The operating strategy is set as a function of the comparison and of the at least one estimated variable in such a way that the predefined operating state is as far as possible avoided.

Abstract: A predefined operating strategy permits a predefined operating mode of the motor vehicle. A first operating variable value of the operating mode and/or one additional variable value, which is independent of the operating mode are sensed and one estimated value is determined depending thereon, which is representative of one expected value of the one first operating variable of a second operating variable of the operating mode. One predicted value is determined depending on the sensed values of the one first operating variable, the one additional variable, and/or the one determined estimated value. The predicted value represents an expected operating state and is compared with one predefined comparison value, which is representative of one predefined operation state. The operating strategy is set as a function of the comparison and of the at least one estimated variable in such a way that the predefined operating state is as far as possible avoided.

Abstract: To determine a position of a mobile communications device within a communications network (localization). possible location areas for the mobile communications device are determined from communications signals of the mobile communications device by using base stations located within the communication network, and these possible location areas are superimposed to form a common location area while using a non-linear quantity-based filter. The position of the mobile communications device is then determined while using the common locations area.

Abstract: According to the invention, primary route information, which describes a primary route of a mobile unit, is determined for said mobile unit. The primary route information is then evaluated using fuzzy logic, determining the maneuver information.

Abstract: In the method, the transmission ratio of the speed transmission (i_act) is set automatically using stored adjustment characteristic curves, as a function of a variable (FP, tv) which characterizes the engine output, and a variable (v) which characterizes the vehicle speed. The transmission ratio is varied as required by means of a manual intervention by the driver. The transmission ratio of the speed transmission is set as a stepped deviation from a setpoint engine speed (n_eng).

Abstract: A controller has characteristic diagram memories and a fuzzy system which detects operating parameters of a motor vehicle and sets a transmission ratio with the aid of the characteristic diagram memory. A driver inputs plus and minus gear shift instructions via an input device. The driver instructions are evaluated during a driving operation by an adaptation circuit, and the shifting behavior of a transmission is adapted to a desired shifting behavior.

Abstract: The device contains an electronic control system, which, in an automatic mode, automatically determines the transmission ratio in dependence of an operating condition, and contains selector devices, which, in the automatic mode, determine the driving stages of the transmission control and, in a manual mode, change the transmission ratio in steps. After a manual selection of the transmission ratio, driving and operating situations in which the automatic mode of the control system is desirable are detected and, if such a situation is detected, a return circuit causes the electronic control system to return to the automatic mode.