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Structure of T - S fuzzy model can be determined by SVM with good generalization performance automatically, and system parameters can be optimized and estimated by GA. 针对辨识出的T-S模型进行控制,控制器包括两个部分,权重最大子系统局部反馈控制和利用滑模控制设计的全局监督控制,能保证系统稳定。
T - S fuzzy model T-S模糊模型
T S fuzzy model T-S模糊模型
T- S fuzzy models T-S模糊模型
T- S fuzzy model T-S模糊模型
Considering design parameter s fuzzy uncertainty,a fuzzy programming model was developed for optimal design of a single product,capacitated returned logistics network. 考虑设计参数的模糊不确定性,建立了单一产品、有处理能力限制的回收物流网络优化设计的模糊规划模型。
Robust FDD based on parity equations is studied for a class of nonlinear systems described by T-S fuzzy models. 研究了基于T-S模糊模型的非线性系统奇偶方程鲁棒故障检测与诊断。
Interpretability,which is one of the most important features of fuzzy models,is analyzed firstly. 首先指出模糊模型解释性的重要地位,分析影响解释性的主要因素;
It trains the SOM in a supervised way firstly, and then decomposes the mixed pixels based on fuzzy model. 首先对自组织映射神经网络进行有监督的训练，然后基于模糊模型对混合像元进行分解。
After a study of the fuzzy model creation method the authors constructed a fuzzy model for a turbogenerator seal oil cooling system with satisfactory results being attained. 文中对模糊建模方法进行了研究，并对汽轮发电机密封油冷却系统进行了模糊建模，取得了满意的结果。
Then the paper proposes a brand new neural network, termed dyadic network, and a brand new fuzzy model, termed dyadic fuzzy system. 然后本文提出了一种称为二进网络的全新神经网络,和一种称为二进模糊系统的全新模糊系统。
After the system operates, the fuzzy model and the parameters of the PPID are tuned off line again by using the input/output data from the plant. 首先基于初始模糊模型对PPID离线进行整定 ;然后在系统运行后利用对象的输入输出数据对模糊模型和PPID的参数再次进行离线整定 .
In this thesis, a class of large-scale systems with time-delay interconnections is represented by an equivalent Takagi-Sugeno type fuzzy model. 本论文主要是对于含有状态时间延迟和输入时间延迟的资料采样系统，提出两种数位重新设计之控制器。
This paper presents a method to recognize digit and small set and Multi-font Chinese character based on similarity measure of Fuzzy Model. 文章提出了一种基于模糊相似测量的小类别数多字体汉字及数字识别方法。
The concept of parallel distributed compensation (PDC) and linear matrix inequality (LMI) are employed to design an output feedback controller for T-S fuzzy models. 然后采用平行分布补偿法(PDC)和线性矩阵不等式方法(LMI)，研究了该类输出反馈控制器的解析设计方法。
M.Funabashi,T.Aoki,M.Yahiro,H.Inoue,A fuzzy model based control scheme and its application to a road tunnel ventilation system,Proc.IECON91 Internat. 赖建成,应用模糊逻辑理论于公路隧道通风系统空气品质控制之模拟研究,国立台湾科技大学,自动化及控制研究所,硕士论文,2006。
The proposed WRNFN model combines the traditional Takagi-Sugeno-Kang (TSK) fuzzy model and the wavelet neural networks (WNN). 递迴式小波类神经模糊网路结合了传统的TSK模糊模组以及小波类神经网路。
An approach to identifying fuzzy models considering both interpretability and precision is proposed.Firstly, interpretability issues about fuzzy models are analyzed. 摘要提出一种同时考虑解释性和精确性的模糊建模方法。
Fully decoupled parity equation for multiple faults was constructed, and fuzzy parity equation was obtained by using the T-S fuzzy model. 首先构造线性系统的全解耦奇偶方程，再应用T-S模型融合非线性系统各个工作点处的线性模型的全解耦奇偶方程得到模糊奇偶方程。
The parallel distributed compensation (PDC) and linear matrix inequality (LMI) are employed to design the output direct feedback controllers for T-S fuzzy models. 在稳定性分析的基础上，采用平行分布补偿法(PDC)和线性矩阵不等式方法(LMI)，研究了输出直接反馈控制器的设计。