[1]范轶博,赵涛,解相朋.广义二型模糊系统的自组织规则生成方法[J].智能系统学报,2024,19(3):646-652.[doi:10.11992/tis.202206024]
FAN Yibo,ZHAO Tao,XIE Xiangpeng.Self-organizing rule generation method for a general type-2 fuzzy system[J].CAAI Transactions on Intelligent Systems,2024,19(3):646-652.[doi:10.11992/tis.202206024]
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FAN Yibo,ZHAO Tao,XIE Xiangpeng.Self-organizing rule generation method for a general type-2 fuzzy system[J].CAAI Transactions on Intelligent Systems,2024,19(3):646-652.[doi:10.11992/tis.202206024]
广义二型模糊系统的自组织规则生成方法
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
19
期数:
2024年第3期
页码:
646-652
栏目:
学术论文—智能系统
出版日期:
2024-05-05
- Title:
- Self-organizing rule generation method for a general type-2 fuzzy system
- Keywords:
- self-organizing learning; fuzzy control; generalized type-2 fuzzy system; membership function; structure learning; error-driven method; incremental learning; recursive least-squares method
- 分类号:
- TP273+.5
- 文献标志码:
- 2023-09-14
- 摘要:
- 针对广义二型模糊系统在复杂情况中因缺乏专家经验而难以构建合适模糊规则的问题，提出了一种基于输入数据的激活强度来生成广义二型模糊集以及模糊规则的方法。通过数据驱动自组织构建广义二型模糊系统模糊规则，并且使用迭代最小二乘法和梯度下降法优化系统前后件参数。最后，分别在无扰动和施加噪声情况下进行了非线性系统的跟踪仿真，实验结果证明了自组织规则生成的广义二型模糊系统的有效性，并能够以较高精度跟踪参考轨迹。
- Abstract:
- To solve the problem of difficult construction of appropriate fuzzy rules in the generalized type-2 fuzzy system due to a lack of expertise in complex situations, a method for generating generalized type-2 fuzzy sets and fuzzy rules based on the activation intensity of input data was proposed. The fuzzy rules of generalized type-2 fuzzy systems were constructed by a data-driven self-organization strategy, and the parameters of the front and rear parts of the system were optimized by the iterative least squares and gradient descent methods. Finally, the tracking simulation of the nonlinear system was conducted in the conditions of no disturbance and noise disturbance . The experimental results revealed that the generalized type-2 fuzzy system generated by the self-organizing rules is effective, and the reference trajectory can be tracked with high accuracy.
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备注/Memo
收稿日期:2022-06-14。
基金项目:四川省中央引导地方科技发展项目（2021ZYD0016）.
作者简介:范轶博，硕士研究生，主要研究方向为智能控制和智能机器人。E-mail：fanyibo777@163.com;赵涛，副教授，博士生导师，博士，主要研究方向为智能控制和智能机器人。E-mail：zhaotaozhaogang@126.com;解相朋，教授，博士，主要研究方向为复杂工业过程智能建模与控制。E-mail：xiexiangpeng1953@163.com
通讯作者:赵涛. E-mail：zhaotaozhaogang@126.com
更新日期/Last Update:
1900-01-01