基于模糊感覺強度的無規(guī)則模糊邏輯系統(tǒng)的仿真設計

李玉姣; 王銀河

doi:10.11999/JEIT170583

基于模糊感覺強度的無規(guī)則模糊邏輯系統(tǒng)的仿真設計

doi: 10.11999/JEIT170583 cstr: 32379.14.JEIT170583

李玉姣¹,
王銀河²

1.
(華南理工大學廣州學院廣州 510800) ②(廣東工業(yè)大學自動化學院廣州 510006)

基金項目:

國家自然科學基金(61673120)

計量
- 文章訪問數: 1096
- HTML全文瀏覽量: 159
- PDF下載量: 131
- 被引次數: 0
出版歷程
- 收稿日期: 2017-06-15
- 修回日期: 2017-12-14
- 刊出日期: 2018-04-19

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

LI Yujiao¹,
WANG Yinhe²

1.
(Guangzhou College, South China University of Technology, Guangzhou 510800, China)
2.
(School of Automation, Guangdong University of Technology, Guangzhou 510006, China)

Funds:

The National Natural Science Foundation of China (61673120)

摘要

摘要: 基于模糊邏輯方法在心理語言學研究領域的有效性，該文提出基于模糊感知強度和韋伯定律的一類新的無規(guī)則模糊邏輯系統(tǒng)及其自適應控制應用的方法。首先，應用心理物理學中的概念，模糊邏輯系統(tǒng)的知識庫是利用模糊感覺強度來描述專家經驗感受；模糊推理后應用廣義韋伯定律進行解模糊得到系統(tǒng)輸出。然后，針對一類非線性系統(tǒng)，利用構造的新的無規(guī)則模糊邏輯系統(tǒng)進行自適應控制設計，得到相應的控制器和參數自適應律。最后，通過Duffing混沌系統(tǒng)仿真算例驗證了該文方法的可行性和有效性。
- 模糊感覺強度 /
- 韋伯定律 /
- 無規(guī)則模糊系統(tǒng) /
- Duffing混沌系統(tǒng) /
- 自適應控制
Abstract: 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.
- Fuzzy perception intensity /
- Webers law /
- Fuzzy logic system without any rules /
- Duffing chaotic systems /
- Adaptive control

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