An adaptive method of signal selecting based on the strategy of fuzzy clustering and expert reasoning

In order to pick up effective signals a real control system, the paper discusses an adaptive method of signal selection based on the strategy of fuzzy clustering and expert reasoning. Compared with known methods, it can not only pick up system characteristic frequency 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.