Using the fuzzy technique to identification stochastic linear dynamic systems

摘要

The issue of dealing with the diagnostic process of any dynamic system is of great importance. Diagnostic becomes more difficult and complex in the case of non-stationary systems. This research deals with two diagnosis methods of dynamic systems, namely classical and logic diagnosis. The two methods were applied on teal data previously treated by Box and Jenkins (1976).The comparison has been done depending on checking many statistical, and engineering conditions. The results of fuzzy techniques were better than the classical techniques.