基于规则熵函数法的结构自适应模糊辨识与控制

提出一种新的结构自适应模糊辨识器，其特点是采用“规则熵函数”法在线调节模糊逻辑系统参数，使规则前件参数趋于一致，从而进行规则合并，简化了系统结构。将该结构自适应模糊辨识器用于一类非线性系统的自适应控制，仿真结果验证了所提出方法的有效性。

Structurally Adaptive Fuzzy Identification and Control Based on Rule Entropy Function Method

A new structurally adaptive fuzzy identifier is presented. The characteristic of the identifier is to update parameters of the fuzzy logic system on line with the proposed rule entropy function method, which makes the premise parameters of fuzzy rules tend coincidence, such that some rules can be merged and the system structure is simplified. The identifier is applied to the adaptive fuzzy control of a class of nonlinear systems, simulation results demonstrate the effectiveness of the proposed identification and control methods.