The fuzzy model and its inverse fuzzy model can be obtained by fuzzy identification.
过程的模糊模型和逆模糊模型均可由模糊辨识获得。
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。
This paper first presents a fuzzy identification method with forgotten factor on line revised.
首先给出一种在线修改遗忘因子的模糊辨识方法。
Finally, the application of fuzzy identification to predication behavior of systems is discussed.
最后，探讨了模糊辨识方法在系统预测方面的应用。
By combination of expert experience and fuzzy identification, the fuzzy rules become more reliable.
在建立模糊规则时，应用了专家经验与模糊辨识相结合的方法，使规则更加合理可信。
Third, it investigates the identification of weights and the fuzzy identification of the level of targets.
再次研究权重的确定以及对象级别的模糊识别的原则；
Multiple well logging curves are zoned automatically by developed fuzzy identification based on number field.
应用改进的基于数域上的模糊模式识别方法，综合多条测井曲线进行自动分层。
A method of fuzzy identification based on genetic soft fuzzy clustering and Kalman filtering method is proposed.
提出了一种新的基于遗传模糊软分类和卡尔曼滤波方法的模糊辨识算法。
Combined with fuzzy pattern recognition theory, the fuzzy identification criterions of flow patterns are established.
并结合模糊模式识别理论，建立了流型的模糊判别准则。
This paper proposed a fuzzy identification method for nonlinear systems which were based on decomposing clustering of the worst subspace.
该文提出了一种基于最差子空间分解聚类的非线性系统模糊辨识方法。
Some new developments in recent years are presented. Fuzzy modeling, fuzzy identification and adaptive fuzzy control are deeply discussed.
重点对近年来在模糊建模、模糊辩识及自适应模糊控制领域的新进展进行了综合性的论述。
A fuzzy identification method for nonlinear systems is suggested based on a new fuzzy model and weighted recursive least square algorithm (WRLSA).
提出一种基于新的模糊模型和加权递推最小二乘算法(WRLSA)的非线性系统模糊辨识方法。
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。
Combining the adaptive fuzzy control with the adaptive fuzzy identification, this paper presents an indirect adaptive fuzzy control scheme for MIMO nonlinear systems.
针对多输入多输出非线性系统，把自适应模糊控制和自适应模糊辨识结合起来，提出了一种间接自适应模糊控制方案。
Based on the discussion, the paper also summarizes systematically fuzzy identification theory and practical problems, and points out the research trends in the future.
在此基础上，系统地综述模糊辨识领域存在的理论与实际问题，并探讨了今后的研究方向。
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。
Composing the fuzzy matrix is the basis of applying fuzzy mathematics in the mechanical design, such as fuzzy complex appraisal, fuzzy decision and fuzzy identification.
构造模糊矩阵是在机械设计中应用模糊数学的基础，模糊综合评判、模糊决策以及模糊识别等都需要构造和利用模糊矩阵。
The identifier is applied to the fuzzy identification for a class of nonlinear systems, and the simulation results demonstrate the effectiveness of the proposed identification methods.
将该辨识器用于一类非线性系统的模糊辨识，仿真结果验证了所提出方法的有效性。
A hybrid robust adaptive control based on fuzzy identification for a class of multiple-input -multiple-output nonlinear systems was proposed with plant unknown and external disturbances.
针对一类多输入多输出不确定非线性系统，提出一种基于模糊辨识的混合鲁棒自适应控制方法。
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。
From practical application, adaptive fuzzy identification and control models of proton exchange membrane fuel cell (PEMFC) were developed based on input-output sampled data and experts' experience.
从质子交换膜燃料电池(PEMFC)实际应用的角度出发，应用自适应模糊神经网络技术对PEMFC系统进行建模与控制。
According to the classic fuzzy evaluation subsets and near rule in fuzzy mode identification, the safety state of falsework can be determined subsequently.
然后依据典型的模糊评价子集并利用择近原则进行模糊模式识别，判断出脚手架所处的安全状态。
The text which is built on decision table has explained hard and soft match of identification of model and furnished searching theory using fuzzy decision.
本文在决策表的基础上，阐述了模式识别的软硬匹配，提出用模糊决策方法进行搜索的理论。
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 main discussion is the application of fuzzy logic in the fire image model identification.
本文主要论述了模糊逻辑在图像模式识别中的应用。
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。
Emitter data sometimes is unsufficient and uncertain, fuzzy inference was applied to realize emitter and target platform identification.
辐射源数据往往不完整或不确定，因此应用模糊推理实现了辐射源和目标平台的识别。
A learning algorithm based on Lyapunov stability is derived to fuzzy relational model identification in this paper.
本文在李雅普·诺夫稳定性意义下，提出了一种辨识模糊关系模型的学习算法。
Based on the identification model, an adaptive fuzzy neural networks voltage controller was designed. The parameters of the controller are regulated by adopting the novel BP algorithm.
基于该辨识模型，设计了一个自适应模糊神经电压控制器，其参数采用改进的BP算法进行在线修正。
Based on the identification model, an adaptive fuzzy neural networks voltage controller was designed. The parameters of the controller are regulated by adopting the novel BP algorithm.
基于该辨识模型，设计了一个自适应模糊神经电压控制器，其参数采用改进的BP算法进行在线修正。
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