优化模糊 meaning in English
de coblur
Examples
- An introduction of design method of fuzzy controller is given . the method of the combination of the genetic algorithms and fuzzy control is studied . the method of optimizing the fuzzy control query table by using the genetic algorithms is discussed
介绍了模糊控制器的设计方法，并研究了遗传算法与模糊控制的融合方式，探讨了用遗传算法直接优化模糊控制决策表。 - In the end of this chapter , we introduce the hierarchical genetic algorithm which has the ability of topology optimization and has been demonstrated to be applied successfully to the optimization of fuzzy systems
第三章介绍了二进制遗传算法和实值遗传算法的一些重要概念和算子，并引入了对分层遗传算法的讨论。分层遗传算法可以用于结构优化，并已被应用于优化模糊系统。 - Abstract : the difficulties of designing fuzzy logic controller are analysed . the basic concept and procedure of genetic algorithms are briefly introduced . the progress made in the last several years are classified into three types according to optimizing object . then the details of each method are discussed . at last further work is presented
文摘:分析了模糊控制器设计中的主要困难，简要介绍了遗传算法的基本概念和操作过程，将近年来利用遗传算法优化模糊控制器的研究按照其优化对象的不同分为三类，并分别进行了综述，最后对今后进一步的研究方向做了展望。 - This kind of controller is easy to design and operate , and has improved convergence rates and less overshoot than pid controller , but has stable error . in order to improve the properties of the fuzzy controllers , fine - tune - rule fuzzy controller , fine - tuned parameter fuzzy controller and fuzzy - pi controller were designed respectively based on the simple fuzzy controller . then fuzzy logic inferential system is established by using toolbox of fuzzy logic in matlab7 . 0 . secondly , in simulink6 . 0 , through the instance of the template of s - function , the module of s - function for optimizing fuzzy control and corresponding control model are constructed , and the parameters of simulation are set
这种控制器易于设计、实现方便,较传统pid控制有更快的响应速度和更小的超调,但其存在静态误差;为了进一步提高模糊控制器的控制特性,在此基础上分别设计了可调整控制规则模糊控制器、参数自整定模糊控制器和模糊- pid复合控制器;然后利用matlab7 . 0模糊逻辑工具箱图形用户界面建立模糊逻辑推理系统,在simulink6 . 0系统仿真设计平台中通过实例化s函数模板创建旨在优化模糊控制的s函数功能模块,并构建模糊控制系统框图模型,设置系统仿真参数,最终对系统进行动态仿真。 - This method can greatly improve the speed of rule inquiry and spend the same inquiry time on every rule . knowledge reduction and inconsistent degree are used to reduce fuzzy rule table , which avoids some problems such as vast search space and rule blast because of too much input variables . simultaneously , mea , which is superior to genetic algorithm in compute efficiency and astringency , is used to optimize parameters of fuzzy control
该控制策略利用t - s模糊模型易于表达非线性系统动态特性的优点，离线建立模糊查询表来实现实时查找在线控制，并且提出一种新颖的快速查询方法?列存储下标查询法，该方法可以大大提高规则查找的速度，而且任一规则均花费相同的查询时间；充分利用粗糙集知识约简和不相容度的理论，对模糊规则表进行约简，避免由于输入变量过多而导致搜索空间巨大、规则爆炸等问题；同时利用思维进化算法优化模糊控制的参数，这种算法在计算效率和收敛性方面都优于遗传算法。