Principle and design of fuzzy controller based on fuzzy learning from examples

Designs of most present fuzzy controllers depend on personal experiences. However, at some control circumstances, there are not enough or no expert experiences. Thus, most controllers cannot effectively implement the control process because of this dependence. To address the problem, a new kind of fuzzy controller based on fuzzy learning from examples is proposed in this paper. Furthermore, the principle, algorithm, designing method and feasibility analysis of the new fuzzy controller are given. The fuzzy controller features intelligent behaviors. The results of experiments show that the new controllers is effective and efficient when there is short of personal experiences.