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It is difficult to have good performance to control large delay time system. A neural network identification method for nonlinear system's delay time was discussed. Using the abrupt mutation resulted from the training error sum square of the real output and the expected output of the network, this method changed the input sample period of the neural network so that it could discriminate the delay...
This paper presents a transaction-level on-chip communication network model, including routers and links, which can be easily employed in a system-level system-on-chip simulation framework for early functional verification and architecture analysis. The model is capable of providing NoC's latency and throughput information during simulating process and developed in SystemC to achieve high simulation...
In the paper, an FPGA (field-programmable-gate-array) based industrial Ethernet slave communication controller is proposed. The slave communication controller is compatible with a custom communication protocol and will be used in NC (numerical control) system. A distributed clock which is integrated in the slave controller and synchronizes to the system clock provides a precise time for each device...
Due to large delay time, varying coalpsilas quality and steam load, boiler combustion system was difficultly controlled. Nonlinear systempsilas delay time must be well identified. The abrupt mutation result from the training error sum square of the real output and the expected output of the neural network was used to identify the delay time. The input sample period of the neural network was changed...
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