The research of fuzzy system identification is very important for achieving satisfactory performance of fuzzy control in both theory and application aspects.
为了实现理想的模糊控制，基于对象的模糊系统辨识研究具有非常重要的理论与实际应用价值。
Fuzzy system identification and control is an important branch of the identification and control of general nonlinear system that is a complex research field.
非线性系统辨识和控制是一个复杂而又非常重要的研究领域，其中模糊系统辨识及其控制研究是一个重要的分枝。
Fuzzy system identification is one of the main approaches of fuzzy system modeling. Optimized fuzzy system structure is the key of fuzzy system identification.
模糊系统辨识是模糊系统建模的主要手段，优化的模糊系统结构是模糊系统辨识的关键。
The paper gives a indirect adaptive fuzzy controller . We obtain the model of the plant by fuzzy system identification online, then design the fuzzy controller online according to this model.
本文给出了一种间接自适应模糊控制器，它通过在线模糊系统辨识得到控制对象的模型，然后根据所得模型在线地设计模糊控制器。
An online adaptive fuzzy neural network identification and robust control approach were proposed for the adaptive control problem of SISO nonlinear system.
针对单输入单输出非线性系统的自适应控制问题，提出了一种在线自适应模糊神经网络辨识与鲁棒控制的方法。
In view of modeling problems of nonlinear and dynamic system, a self organizing fuzzy identification algorithm (SOFIA) is presented based on t s model in this paper.
针对复杂非线性动态系统的模糊建模问题，基于T -S模型提出一种自组织模糊辨识算法。
Based on the fuzzy identification theory, a single fuzzy model direct distance method is raised, which is suitable for operating model identification of complex system.
在模糊识别理论的基础上提出了一种适宜于复杂系统工况识别的单模糊模式直接距离法。
The modules for power transformer fault detection and identification are developed with COM and fuzzy technology. Based on the modules, the fuzzy diagnostic system is design.
利用COM和模糊技术开发了电力变压器故障模糊检测和辨别模块，在此基础上设计了模糊诊断系统。
This article focuses on the fuzzy identification of the non-linear system to discuss.
本文紧紧围绕着非线性系统的模糊建模和辨识方法展开讨论和研究。
In this paper the technologies of model forecasting and the fault model identification and the intelligence monitoring using fuzzy system and neural network are studied.
本文主要对模糊系统和神经网络技术在模型预测、故障模式分类和智能监测中的应用进行了研究。
This paper develops a new approach based on the solution of circuit system parameters, and also on fuzzy mathematics for fault identification.
本文在求解系统参数的基础上，用模糊数学辨识故障，使字典的故障分离度提高。此方法还可以用于软故障的在线诊断。
In this paper, a sensor fault identification method based on fuzzy logic for the satellite navigation system is presented.
给出了一种基于模糊逻辑的卫星导航系统传感器故障识别方法。
According to the modified least square algorithm of system identification technique, a diagnostic model of power transformer fault is determined and described by fuzzy relation matrix.
采用系统辨识的最小二乘法的改进算法，确定了一种用模糊关系矩阵表示电力变压器故障诊断模型。
Simulation analysis proves that the fuzzy adaptive control system is able to realize intelligent control of NC machining with higher identification as well as control precision.
结果表明所建立的模糊自适应控制系统能够以较高的辨识与控制精度实现数控加工的智能自适应控制。
The method is a kind of on line adaptive fuzzy reasoning which is deduced based on fuzzy clustering method. The method can be used in parameters identification of time-varying system.
该方法是在原有模糊聚类法的基础上，推导出的在线自适应模糊推理算法，可应用在时变非线性系统参数在线辨识中。
An adaptive fuzzy clustering identification algorithm is employed to get the T-S fuzzy model of a system.
用基于T - S模型的自适应模糊聚类辨识算法对系统进行辨识。
The index of environment risk assessment system was established based on the properties of chemical engineering project. Fuzzy identification method as well as the case study was studied.
根据化工建设项目的特点，建立环境风险评价系统的指标体系，研究模糊评判方法，并应用实例进行分析计算。
A novel method named Fuzzy Least Squares method of System Identification is proposed for processing the data got from measurements with identical precision.
提出了一种新的系统辨识的方法——模糊最小二乘系统辨识法。
A novel method named Fuzzy Least Squares method of System Identification is proposed for processing the data got from measurements with identical precision.
提出了一种新的系统辨识的方法——模糊最小二乘系统辨识法。
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