Fuzzy modeling and control for a class of affine nonlinear systems is studied.
针对一类仿射非线性系统，研究其模糊建模与控制问题。
In this paper, we present a novel genetic-fuzzy modeling method for complex systems.
针对复杂系统的模糊建模问题，提出了一种遗传-模糊建模新方法。
The author proposes a new self tuning fuzzy modeling by means of fuzzy competitive learning.
提出了一种新的基于模糊竞争学习的自调整的模糊建模方法。
The T-S fuzzy model was adopted for fuzzy modeling of the large-scale systems with time-delay.
针对状态可测的一类连续非线性时滞大系统的鲁棒分散控制问题，采用T-S模型对其进行建模。
A novel approach based on fuzzy modeling for online soft-sensing of fouling in condenser is proposed.
提出了一种基于模糊建模的冷凝器污脏软测量方法。
Possibilistic linear model based on possibility theory has a pivotal role in fuzzy modeling and has been widely studied.
基于可能性理论的可能性线性模型在模糊建模方面有着非常重要的作用，并已得到了广泛的研究。
The problem of fuzzy modeling for a class of nonlinear time-delay systems with constraint inputs by fuzzy T-S model is addressed.
利用模糊T-S模型对一类输入受限的非线性时滞系统进行建模；
How to find the rules, simplify rules and reduce the fuzzy model of the input space is the key to the problem of the fuzzy modeling.
如何找到这些规则，化简规则，压缩模糊模型的输入空间是模糊建模的关键问题。
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 new method to evaluate voltage security cost is presented using the capability of fuzzy modeling method in dealing with relaxed constraints.
利用模糊建模方法处理可松弛约束的能力，提出一种估计电力系统电压安全成本的新方法。
Consequently, with robust IT2PCM clustering algorithm as main tool, a rapid-prototyping approach to interval type-2 fuzzy modeling is proposed.
以鲁棒it 2 P CM算法为主要工具，建立了一种快速原型方法进行区间类型2模糊建模。
Using RBF NN can restore the airplane to the normal state by online regulating the effect of the uncertainties and the error caused by fuzzy modeling.
采用RBF神经网络在线补偿不确定项和模糊建模误差，能够使飞机获得满意的控制效果。
By modeling for the fuzzy requirement information, the model for design retrieval is more adapt to the design reuse engineering fact.
并且通过对模糊需求信息的建模，使设计检索模型更适合于表达设计重用的工程实际。
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。
Fuzzy cognitive maps as a soft computing method, which combines the synergistic fuzzy logic and theories of neural networks provides a powerful tool for the complex system modeling.
模糊认知图作为一种模糊逻辑和神经网络相结合的产物，为复杂系统建模提供了一种有效工具。
Fuzzy logic and local linear models are employed for modeling a non-linear dynamic process.
在非线性动态过程的建模中，融入了模糊逻辑和局部线性模型。
This paper gives the simulation example for modeling a typical system with Adaptive Neural-Fuzzy Inference system and expatiates the method for choosing these three parameters.
该文应用自适应神经网络模糊推理系统的方法对一个典型系统进行建模仿真，并阐述这三个参数的寻优方法。
This reserved modeling method and Fuzzy comprehensive Evaluation (FCE) are introduced into comprehensive assessment of power plant, the entire state of the ten units of 600mw were assessed.
本文将反向建模思想与模糊综合评判理论引入电厂评估，对来自十座电厂的十台容量为600 MW机组的总体状态进行综合评判。
This study shows that the compound fuzzy neural network not only possesses evident dominant in modeling precision, but also possesses a good prospect in the application of production process.
研究表明，论文提出的复合型模糊神经网络不仅在建模精度上有着明显的优势，而且在实际生产过程的应用上具有良好前景。
The effective system estimate method can establish fuzzy comprehensive estimate modeling.
利用有效的系统评价方法，建立纸张印刷适性模糊综合评价模型。
The modeling and real-time rendering technology of irregular fuzzy object is problem and focus in virtual reality technical research field.
不规则模糊物体的建模及其实时显示技术一直以来都是虚拟现实技术研究中的热点与难点。
On the basis of a evolving clustering method (ECM), a new modeling approach of T-S type dynamic fuzzy inference model is proposed.
以一种进化聚类算法(ecm)为基础，提出了一种新的T - S型动态模糊推理模型的建模算法。
With theory of fuzzy cluster analysis, this paper simply and conveniently solves some problem of mathematics modeling, and gets a satisfied result.
本文应用模糊聚类分析理论，快速、简捷地处理了数学建模中的某些问题，得到了令人满意的结果。
On the basis of motor current, a new method for indirect force modeling with self organizing fuzzy neural network to overcome the faults of dynameters is developed.
针对测力仪所存在的问题，利用自组织模糊神经网络，提出了基于电机电流信号的间接力学建模的新方法。
In recent years, because of the emergence of intelligent information processing technology, such as neural networks and fuzzy logic, circuit and device modeling have begun to use such methods.
近年来，由于神经网络、模糊逻辑等智能信息处理技术的兴起，电路与器件的建模也开始使用这类方法。
In order to getting the effective training data of chemical engineering modeling, two algorithms that fuzzy C-means and fast global fuzzy C-means clustering were used.
分别采用模糊c -均值聚类方法和快速全局C -均值聚类两种算法实现化工建模所需训练数据的有效提取。
Nonlinear system modeling using fuzzy method is discussed in this paper.
讨论了利用模糊方法实现非线性系统的建模方法。
Based on fuzzy T-S model, a fuzzy method with self-learning capability for batch process modeling and optimal control is presented.
基于模糊t - S模型，提出一种具有自学习能力的模糊方法用于批过程建模和最优控制。
In the course of modeling, dynamic membership function is used in the fuzzy interval prediction, forming the matrix of dynamic membership function.
在建模的过程中将动态隶属度函数引入模糊预测推理方法，形成动态隶属度矩阵。
In the course of modeling, dynamic membership function is used in the fuzzy interval prediction, forming the matrix of dynamic membership function.
在建模的过程中将动态隶属度函数引入模糊预测推理方法，形成动态隶属度矩阵。
应用推荐