An Adaptive Method of Signal Selecting Based on the Strategy of Fuzzy Clustering and Expert Reasoning
Hua Zhao, Yannan Yang, Zehong Sun, Xiaomin Jia · 2000
In order to pick up effective signal in the real controlling system, this paper discusses a new adaptive method of signal selecting based on the strategy of fuzzy clustering and expert reasoning. Compared with the known methods, it can not only pick up system characteristic fiequency efficiently in the allowable error range, but also reduce the calculation and enhance the real time property. In order to demonstrate the merits of this method, an application example is then given.