Abstract:
The method of making the tool, for process system identification that is based on the general purpose learning capabilities of neural networks. The method can be used for a wide variety of system identification problems with little or no analytic effort. A neural network is trained using a process model to approximate a function which relates process input and output data to process parameter values. Once trained, the network can be used as a system identification tool. In principle, this approach can be used for linear or nonlinear processes, for open or closed loop identification, and for identifying any or all process parameters.
Abstract:
A tool, and the method of making the tool, for process system identification that is based on the general purpose learning capabilities of neural networks. The tool and method can be used for a wide variety of system identification problems with little or no analytic effort. A neural network is trained using a process model to approximate a function which relates process input and output data to process parameter values. Once trained, the network can be used as a system identification tool. In principle, this approach can be used for linear or nonlinear processes, for open or closed loop identification, and for identifying any or all process parameters.
Abstract:
A method includes determining first and second communication paths from a leaf node of a plurality of leaf nodes to first and second gateway nodes, respectively, of a plurality of gateway nodes. The first and second communication paths may include first and second intermediate nodes, respectively, of a plurality of intermediate nodes. A wireless message is sent from the leaf node to the first and second gateway nodes via the first and second communication paths, respectively. Information in the wireless message is communicated from at least one of the first and second gateway nodes to a component of a process control system.
Abstract:
Method and system for controlling cylinder to cylinder variations of undesirable emissions in exhaust gas of engines with exhaust gas recirculation. An engine model is used to predict the intake composition of the next cylinder firing based on the composition of the exhaust, as a function of time and applicable engine conditions. At least one engine parameter is adjusted to compensate for the predicted intake composition in order to minimize cylinder to cylinder variations.
Abstract:
A multivariable controller that models the interaction between groups of sensors and groups of actuators during the operation of an engine. By accounting for the interactive effects that a group of actuators has on a sensor or group of sensors, improved system performance may be achieved. When emission sensors are used, such as NOX and/or PM sensors, the multivariable controller may help control the various engine actuators to reduce emissions of the engine.
Abstract:
Systems and methods for controlling automotive powertrains using a distributed control architecture are disclosed. A distributed control system may include a supervisory control unit for controlling one or more powertrain subsystems, and one or more subsystem control units in communication with the supervisory control unit. The supervisory control unit can be configured to execute a central optimization algorithm that computes variables from across multiple powertrain subsystems, and then outputs a number of globally approximated command values to each associated subsystem control unit. In some embodiments, the central optimization algorithm can be configured to solve a global cost function or optimization routine. One or more of the subsystem control units can be configured to execute a lower-level algorithm or routine, which can comprise a higher-fidelity model than that used by the central optimization algorithm.
Abstract:
A multivariable controller that models the interaction between groups of sensors and groups of actuators during the operation of an engine. By accounting for the interactive effects that a group of actuators has on a sensor or group of sensors, improved system performance may be achieved. When emission sensors are used, such as NOX and/or PM sensors, the multivariable controller may help control the various engine actuators to reduce emissions of the engine.
Abstract:
Systems and methods for controlling automotive powertrains using a distributed control architecture are disclosed. A distributed control system may include a supervisory control unit for controlling one or more powertrain subsystems, and one or more subsystem control units in communication with the supervisory control unit. The supervisory control unit can be configured to execute a central optimization algorithm that computes variables from across multiple powertrain subsystems, and then outputs a number of globally approximated command values to each associated subsystem control unit. In some embodiments, the central optimization algorithm can be configured to solve a global cost function or optimization routine. One or more of the subsystem control units can be configured to execute a lower-level algorithm or routine, which can comprise a higher-fidelity model than that used by the central optimization algorithm.
Abstract:
A method includes determining first and second communication paths from a leaf node of a plurality of leaf nodes to first and second gateway nodes, respectively, of a plurality of gateway nodes. The first and second communication paths may include first and second intermediate nodes, respectively, of a plurality of intermediate nodes. A wireless message is sent from the leaf node to the first and second gateway nodes via the first and second communication paths, respectively. Information in the wireless message is communicated from at least one of the first and second gateway nodes to a component of a process control system.
Abstract:
An novel recipe that embodies a higher level description than currently used in the industry is described. The novel recipe is referred to herein as an “advanced recipe.” A traditional recipe consists of a general set of instructions called a ‘recipe’ which is used to make a product. An advanced recipe integrates the intent behind these set of instructions. A novel knowledge management system for capturing, integrating, and using broad knowledge is also described below. Some embodiments of the knowledge management system enable modification of recipes for maximizing the overall processing objectives. An example embodiment of the knowledge management system comprises a Knowledge Builder, a Structured Knowledge Repository, and a Decision Maker.