IDENTIFIZIERUNG EINES PROZESSSYSTEMS

摘要

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. This approach can be used for linear or non linear processes, for open or closed loop identification, and for identifying any or all process parameters. The tool can be used for a wide variety of system identification problems with little or no analytic effort.