Proceedings, Volumes 1-2IEEE, 2003 - Artificial intelligence |
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Page 174
... input stage that provides the crisp inputs for the fuzzification step . The second layer performs fuzzification . The weights and biases respectively represent the widths and means of input membership functions . Using exponential ...
... input stage that provides the crisp inputs for the fuzzification step . The second layer performs fuzzification . The weights and biases respectively represent the widths and means of input membership functions . Using exponential ...
Page 256
... < input >> Input Par1 : DATATYPE1 + Input Par2 : DATATYPE2 << output >> Output Par1 : DATATYPE3 Private Var DATATYPE4 + << hardware >> Class Name2 < input >> Unput1 DATATYPE1 < Output Output1 DATATYPE2 Internal behaviour described by a ...
... < input >> Input Par1 : DATATYPE1 + Input Par2 : DATATYPE2 << output >> Output Par1 : DATATYPE3 Private Var DATATYPE4 + << hardware >> Class Name2 < input >> Unput1 DATATYPE1 < Output Output1 DATATYPE2 Internal behaviour described by a ...
Page 332
... Input and Output Boolean variables of PLC . An Input module has two condition inputs providing the value of the input sensor . The inputs serve as interface to the plant model , which is out of scope of this paper . This approach is ...
... Input and Output Boolean variables of PLC . An Input module has two condition inputs providing the value of the input sensor . The inputs serve as interface to the plant model , which is out of scope of this paper . This approach is ...
Contents
Cooperative MultiAgentBased Control Technology for Supervisory and DataAcquisition Systems | 19 |
Distributed Product Development as a Core Element of Supply Chain Management | 35 |
A Review | 50 |
Copyright | |
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adaptation agents alarm algorithm analysis approach architecture automation behavior Bluetooth camera client communication components configuration control applications control system CORBA database defined detection developed diagnosis distributed distributed control systems domain dynamic embedded systems Engineering environment error evaluation event example execution fault fault injection field device fieldbus Figure filter flexible FPGA framework frequency Function Block genetic algorithms hardware IEEE implementation industrial input integration interaction interface Java layer machine maintenance manufacturing mechatronic method middleware mobile agents module monitoring multi-agent systems neuro-fuzzy nodes operation optimal organ-matrix output P₁ parameters pattern performance Petri nets pixel planning plant platform problem production proposed real-time requirements robot SCADA scheduling sensor sequence server signal simulation Simulink sliding mode control solution specific structure task variables