The stability is studied for fuzzy systems with their premise variables employing two-overlapped fuzzy partition. 研究前件变量采用双交叠模糊分划的T-S模糊系统的稳定性问题。
The membership function is a critical part in the fuzzy reasoning system, whose circuit design is the premise and groundwork to perform the inference by circuit. 隶属函数是模糊推理系统的关键组成部分,其硬件化设计是模糊推理系统硬件化设计的前提和基础。
Here, a fuzzy logic controller for isolated intersection is proposed, in which, the traffic efficiency and fairness are considered simultaneously on the premise of traffic safety. 本文提出一种在考虑交通安全的前提下,兼顾效率与公平的单交叉口模糊控制模型。
This method combines fuzzy cluster analysis, least square method, and remnant error analysis effectively. Fuzzy cluster analysis method is used to determine the premise structure and parameters. 该方案将模糊聚类分析、最小二乘法和残差分析有机结合,采用模糊聚类分析方法确定前提结构和参数,采用最小二乘法确定结论参数,并通过对残差的分析进一步确定模糊规则的数目。
The cooperative co-evolutionary algorithm owns two species including the fuzzy rule premise species and the parameters species. 协同进化算法由两类种群组成:规则前件种群和隶属函数参数种群;
The proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient DECA to identify fuzzy models. 利用这种高效的动态聚类算法辨识模糊模型,可以同时得到合适的模糊规则数和准确的前提参数。
Network structure of controller based on T-S fuzzy model comprises premise part and consequence part. 控制器基于TS模糊模型,由前后件分离的网络结构实现。
On this basis, the use of AHP based on fuzzy comprehensive evaluation model line transformation comprehensive evaluation of the project and concluded that it can not affect the general results of the premise, the complex things simple and efficient. 在此基础上,利用基于AHP的模糊综合评价模型对线路改造项目进行综合评价分析并得出结论,它可以在不影响大致结果的前提下,高效的将复杂事物简单化。
And then combined with fuzzy control theory, and research available on-line tuning of PID parameters of the fuzzy adaptive PID controller, in order to ensure that the control performance under the premise, to reduce the difficulty of tuning of the PID parameters. 然后结合模糊控制理论,研究了可在线整定PID参数的模糊自适应PID控制器,从而在保证控制性能的前提下,降低了PID参数的整定难度。
Use subtractive clustering to analyze the input data. And fuzzy C-means clustering is used to identify the premise structure and premise parameter of this model. 建模过程中首先采用减法聚类进行聚类分析,然后用模糊均值聚类来辨识机器人T-S模糊模型的前提结构和前件参数,利用递推最小二乘法推出结论参数。