基于模糊感觉强度的无规则模糊逻辑系统的仿真设计

基于模糊逻辑方法在心理语言学研究领域的有效性，该文提出基于模糊感知强度和韦伯定律的一类新的无规则模糊逻辑系统及其自适应控制应用的方法。首先，应用心理物理学中的概念，模糊逻辑系统的知识库是利用模糊感觉强度来描述专家经验感受；模糊推理后应用广义韦伯定律进行解模糊得到系统输出。然后，针对一类非线性系统，利用构造的新的无规则模糊逻辑系统进行自适应控制设计，得到相应的控制器和参数自适应律。最后，通过Duffing混沌系统仿真算例验证了该文方法的可行性和有效性。

Simulation Design of Fuzzy Logic System Without Any Rules Based on Fuzzy Perception Intensity

Based on the effectiveness of the fuzzy logic in the field of psychological linguistics research, this paper proposes a new kind of fuzzy logic system without any rules based on fuzzy perception intensity and Webers law, and the method of adaptive control application. Firstly, applying the concept of psychophysics, the knowledge base of fuzzy logic system is constructed by fuzzy perception intensity, which describes experts experience feelings. After fuzzy reasoning, the final output is obtained from defuzzification by generalized Weber's law. Secondly, for a class of nonlinear system, this new fuzzy logic system is adopted to design adaptive controller and parameters adaptive laws. Finally, the feasibility and validity of the method are illustrated through the synchronization simulation about Duffing chaotic systems.