Title :
An artificial intelligence approach to the behavioral modeling of asynchronous sequential logic circuits
Author :
Wu, Sheng-Fu ; Fisher, P. David
Author_Institution :
Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
A method has been developed which uses artificial intelligence techniques to model the functional behaviour of asynchronous sequential logic circuits (ASLCs). It provides a highly structured, interactive approach. The domain representation, production rules, and control strategy are described. The behavioural descriptor of the ASLC design automation system generates a primitive flow table which captures the ASLC´s functional behaviour. This methodology has been implemented in the C programming language and currently resides on Sun workstations. This ASLC design automation system has been validated using numerous representative examples and has been found to be much quicker and more reliable than more traditional methods for designing ASLCs
Keywords :
artificial intelligence; asynchronous sequential logic; circuit analysis computing; logic CAD; logic circuits; C programming language; Sun workstations; artificial intelligence; asynchronous sequential logic circuits; behavioral modeling; control strategy; design automation system; domain representation; functional behaviour; interactive approach; primitive flow table; production rules; Artificial intelligence; Clocks; Connectors; Corporate acquisitions; Design automation; Equations; Logic; Production; Sequential circuits; Very large scale integration;
Conference_Titel :
Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on
Conference_Location :
Calgary, Alta.
Print_ISBN :
0-7803-0081-5
DOI :
10.1109/MWSCAS.1990.140921
