Abstract: Please substitute the new Abstract submitted herewith for the original Abstract: A system for increasing a degree of automation of a driver assistance system of a motor vehicle by using at least a second sensor and/or at least a second computing unit of a traffic participant in the surroundings of the motor vehicle is provided.

Abstract: A method determines a blockage of a sensor of a plurality of sensors of an ego vehicle. The method determines a prior blockage probability of the sensor of the plurality of sensors; receives sensor data of the sensor of the plurality of sensors; determines a performance of the sensor based on the received sensor data; calculates a posterior blockage probability based on the prior blockage probability of the sensor and the performance of the sensor; and determines the blockage of the sensors using the calculated posterior blockage probability.

Abstract: An apparatus for controlling at least one safety function of a motor vehicle is configured to determine a current driving situation of the motor vehicle, to determine a safety level required in the current driving situation of the motor vehicle, and to control the at least one safety function according to the required safety level.

Abstract: A system for cleaning sensors of a vehicle includes at least one cleaning apparatus which is configured to clean a number of sensors of a vehicle and a control apparatus which is configured to control the at least one cleaning apparatus. The control apparatus is also configured so as, on the basis of at least one situation parameter, to select a plurality of sensors which are intended to be cleaned from the number of sensors and to determine the order in which the selected plurality of sensors are intended to be cleaned.

Abstract: An electric power system includes a generating unit, which includes a controller for controlling an operational mode of the generating unit. The electric power system also includes an event estimator communicatively coupled to the controller of the generating unit and a network estimator communicatively coupled to the event estimator. The network estimator includes a processor configured to receive status information associated with the electric power system, determine, based upon the status information, at least one characteristic of the electric power system, and transmit the at least one characteristic to the event estimator.

Abstract: A method determines a blockage of a sensor of a plurality of sensors of an ego vehicle. The method determines a prior blockage probability of the sensor of the plurality of sensors; receives sensor data of the sensor of the plurality of sensors; determines a performance of the sensor based on the received sensor data; calculates a posterior blockage probability based on the prior blockage probability of the sensor and the performance of the sensor; and determines the blockage of the sensors using the calculated posterior blockage probability.

Abstract: An electric power system includes a generating unit, which includes a controller for controlling an operational mode of the generating unit. The electric power system also includes an event estimator communicatively coupled to the controller of the generating unit and a network estimator communicatively coupled to the event estimator. The network estimator includes a processor configured to receive status information associated with the electric power system, determine, based upon the status information, at least one characteristic of the electric power system, and transmit the at least one characteristic to the event estimator.

Abstract: A method for model-based design of safety-critical software is disclosed. The method includes receiving natural-language software requirements, developing a specification model by implementing either semantic modeling or graphical modeling, applying formal requirements analysis to the specification model, auto generating requirements based and robustness test cases from the specification model, developing a design model based on the specification model, applying test cases to the design model, auto-generating source code using the design model, verifying the source code using both test cases and static analysis technology, and compiling executable object code from the verified source code. If a result of the analysis of the software specification or design models is not satisfactory then adjusting the specification or design model to correct any inconsistency, and repeating applying the analysis and test cases.

Abstract: A sensor system for identifying a transient sensor failure in an industrial system and for recovering from an erroneous estimation of an expected mass flow rate resulting from the transient sensor failure. The sensor system includes one or more sensors for measuring at least one fluid property of the industrial system. The sensor system includes an enhanced flow soft sensing (EFSS) computing device configured to determine an estimated mass flow rate. The EFSS computing device is also configured to generate expected measurements to be received from one or more sensors. If an error value is not within predetermined parameters, the transient sensor failure is detected. The EFSS computing device is further configured to identify a resurgence of the sensor from the transient sensor failure. An erroneous expected mass flow rate then converges toward a correct expected mass flow rate.

Abstract: An electric power system includes an OLTC transformer including a plurality of primary and secondary windings inductively coupled to each other. The electric power system includes at least one on-load tap changer coupled to at least one of the primary and secondary windings that is selectively configurable to regulate the portion of the primary and secondary windings inductively coupled to each other. The electric power system also includes a plurality of buses coupled to the transformer and are positioned downstream therefrom. The electric power system further includes at least one processor coupled to the tap changer configured to regulate a voltage bandwidth of the tap changer as a function of estimated voltage values of at least one bus as estimated based on a priori values of power/current transmitted through each bus. The a priori values are substantially based on measured power/current transmission through the on-load tap changer.

Abstract: Virtual flow estimation is described that is suitable for use under steady-state and non-steady-state (i.e., transient) conditions. Examples of such an approach may not perform discretization of the underlying model described by partial differential equations, but may instead perform discretization in a derived estimator separate and distinct from the underlying model. In this manner, a non-executable continuous time-estimator may be transformed to an executable discrete time-estimator suitable for use in under non-steady state (i.e., transient) conditions.

Abstract: An electric power system includes an OLTC transformer including a plurality of primary and secondary windings inductively coupled to each other. The electric power system includes at least one on-load tap changer coupled to at least one of the primary and secondary windings that is selectively configurable to regulate the portion of the primary and secondary windings inductively coupled to each other. The electric power system also includes a plurality of buses coupled to the transformer and are positioned downstream therefrom. The electric power system further includes at least one processor coupled to the tap changer configured to regulate a voltage bandwidth of the tap changer as a function of estimated voltage values of at least one bus as estimated based on a priori values of power/current transmitted through each bus. The a priori values are substantially based on measured power/current transmission through the on-load tap changer.

Abstract: Approaches for a modeling and estimation approach for a virtual flow meter (VFM) are described. Certain aspects of the present virtual flow meter approaches relate to the manner in which multiple sources of information in the field are merged within a filter framework for estimation. In certain implementations, both mass flow and pressure at every node of the field are considered as part of the state estimated by the filter algorithm.

Abstract: According to some embodiments, a system includes a communication device operative to communicate with a user to obtain the one or more requirements associated with a specification model for a semantic module; a semantic module to receive the one or more requirements, store the one or more requirements and transform the one or more requirements into a semantic model; a specification module to receive the semantic model, store the semantic model, translate the semantic model and generate a specification model; a memory for storing program instructions; at least one specification model platform processor, coupled to the memory, and in communication with the specification module and the semantic module and operative to execute program instructions to: transform the one or more requirements into a semantic model by executing the semantic module; translate the semantic model into a graphical model by executing the specification module; and modify the graphical model by executing the specification module to generate

Abstract: A sensor system for identifying a transient sensor failure in an industrial system and for recovering from an erroneous estimation of an expected mass flow rate resulting from the transient sensor failure. The sensor system includes one or more sensors for measuring at least one fluid property of the industrial system. The sensor system includes an enhanced flow soft sensing (EFSS) computing device configured to determine an estimated mass flow rate. The EFSS computing device is also configured to generate expected measurements to be received from one or more sensors. If an error value is not within predetermined parameters, the transient sensor failure is detected. The EFSS computing device is further configured to identify a resurgence of the sensor from the transient sensor failure. An erroneous expected mass flow rate then converges toward a correct expected mass flow rate.

Abstract: A method of operating a hydrocarbon extraction field with the aid of a computer includes programming the computer with a virtual flow meter model. The model may be written with a notation that represents at least one of mass flow, temperature and pressure at extremities of a plurality of pressure loss elements (PLEs). The PLEs may include a plurality of wells located in the hydrocarbon extraction field. The method may further include the computer estimating, with use of the model, respective mass flow rates from a plurality of the wells. The method may further include controlling elements of the hydrocarbon extraction field based at least in part on the estimated mass flow rates.

Abstract: A method for model-based design of safety-critical software is disclosed. The method includes receiving natural-language software requirements, developing a specification model by implementing either semantic modeling or graphical modeling, applying formal requirements analysis to the specification model, auto generating requirements based and robustness test cases from the specification model, developing a design model based on the specification model, applying test cases to the design model, auto-generating source code using the design model, verifying the source code using both test cases and static analysis technology, and compiling executable object code from the verified source code. If a result of the analysis of the software specification or design models is not satisfactory then adjusting the specification or design model to correct any inconsistency, and repeating applying the analysis and test cases.

Abstract: A system for online filtering of photovoltaic (PV) output signals includes a programmable filter that is programmed to decompose measured PV output power into an estimated low-frequency signal component, based substantially on movement of the sun and an estimated high-frequency signal component, based substantially on cloud shading. An open loop controller generates a reactive power compensation signal based on at least one of the low-frequency signal component and the high-frequency signal component. The low-frequency signal component is defined by a positive portion of a sine curve that is based substantially on movement of the sun.

Abstract: According to some embodiments, a system includes a communication device operative to communicate with a user to obtain the one or more requirements associated with a specification model for a semantic module; a semantic module to receive the one or more requirements, store the one or more requirements and transform the one or more requirements into a semantic model; a specification module to receive the semantic model, store the semantic model, translate the semantic model and generate a specification model; a memory for storing program instructions; at least one specification model platform processor, coupled to the memory, and in communication with the specification module and the semantic module and operative to execute program instructions to: transform the one or more requirements into a semantic model by executing the semantic module; translate the semantic model into a graphical model by executing the specification module; and modify the graphical model by executing the specification module to generate

Abstract: A system for online filtering of photovoltaic (PV) output signals includes a programmable filter that is programmed to decompose measured PV output power into an estimated low-frequency signal component, based substantially on movement of the sun and an estimated high-frequency signal component, based substantially on cloud shading. An open loop controller generates a reactive power compensation signal based on at least one of the low-frequency signal component and the high-frequency signal component. The low-frequency signal component is defined by a positive portion of a sine curve that is based substantially on movement of the sun.