利用免疫进化算法，提出了一种新的模糊控制器优化设计方法。
By use of immune evolutionary algorithm, a new optimal method of fuzzy controller was presented.
设计了基于CAN总线的预焙铝电解槽计算机控制系统的总体方案及基于混沌优化的电解质温度模糊控制器。
The computer control system scheme of Aluminum electrolytic cell based on CAN bus and Fuzzy controller based on chaos optimization are designed.
通过分析对模糊控制器作优化的原理，提出了一种新的优化设计方法。
By analyzing the principle of optimization, a new optimization method for fuzzy controller's design is put forward.
设计了一种基于RBF网络和遗传优化的船舶操纵模糊控制器。
A fuzzy controller for ship steering based on RBF networks and genetic algorithms is designed.
本文提出了一种基于经验数据的T - S型模糊控制器设计与优化方法，并在倒立摆上进行了验证。
An approach for designing and optimizing Takagi-Sugeno type fuzzy logic controller is proposed in this paper, which is based on experience data.
本文提出一种基于基因算法优化的自学习模糊控制器的设计。
This paper proposes a design of the self adaptive learning fuzzy controller based on Genetic Algorithms optimization.
此外，该软件也可作为遗传优化和模糊控制器设计的辅助教学软件。
Besides, this software can also be used to computer aided instruction in the integrated optimal design of a fuzzy controller.
本文针对单瓶颈节点网络，考虑两个饱和非线性因素，制定控制规则，寻找优化参数，设计模糊控制器。
In this paper, single bottleneck node network is considered. With two saturation factors, we make control rules, find optimal parameters and design the controller.
该优化算法为模糊控制器的设计提供了一个正规的可遵循的方法。
This optimizing algorithm provides a regular method for the design of the fuzzy- controller.
为了避免模糊控制器设计过程中参数的大量调试工作，并使其具有最佳的控制性能，本文首次将混沌优化方法应用于模糊控制器参数设计。
In order to improve the control performance and avoid a great deal of adjusting work of the parameters, we applied chaos optimization method in design of fuzzy controller firstly.
介绍了均匀设计的基本原理及其在模糊控制器的量化因子和比例因子优化设计中的应用方法。
The basic principle of uniform design and its application in the optimal design of the quantifying factors and the scale factor of a fuzzy controller are introduced.
针对模糊神经网络控制器难于设计的问题，提出了一种免疫进化算法用于径向基函数模糊神经网络控制器参数的优化设计。
Aiming at the design difficulty for fuzzy neural network controller, an immune evolutionary algorithm is proposed to design the parameters of a radial basis function fuzzy neural network controller.
因此，模糊控制器的设计优化成为模糊控制的一个研究方面。
Thus, design and optimization of fuzzy controller has now been developed into a research topic in the fuzzy control research field.
提出了一种解析规则模糊控制器的改进结构，并引入了能够动态调整模糊控制规则的修正函数；同时，通过遗传算法，实现了模糊控制器控制参数的组合优化设计。
An improved structure of analytic expression based fuzzy controller is proposed, and a modifying function capable of regulating the fuzzy control rules dynamically is introduced.
提出了一种解析规则模糊控制器的改进结构，并引入了能够动态调整模糊控制规则的修正函数；同时，通过遗传算法，实现了模糊控制器控制参数的组合优化设计。
An improved structure of analytic expression based fuzzy controller is proposed, and a modifying function capable of regulating the fuzzy control rules dynamically is introduced.
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