The computer control system scheme of Aluminum electrolytic cell based on CAN bus and Fuzzy controller based on chaos optimization are designed.
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。
This paper proposes a design of the self adaptive learning fuzzy controller based on Genetic Algorithms optimization.
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。
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.
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。
Thus, design and optimization of fuzzy controller has now been developed into a research topic in the fuzzy control research field.
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。
We come up with a new method to optimize the fuzzy logic controller, which makes the controller approach to the most optimization, and ensure the stability of self-tuning control.
文中提出了一种优化设计方法，使模糊控制性能接近最优，并保证了自适应控制的稳定性。
Then the fuzzy controller based on the improved fuzzy table-rotating optimization is designed and applied to the open-loop systems with pure time delay.
然后将基于改进后的模糊规则建立的模糊控制器应用到纯时间滞后系统的控制中。
In addition, the paper makes use of Genetic Algorithms to optimize learning rates and inertia coefficients of Fuzzy-neural network, which can ensure that the controller achieves optimization control.
此外，通过遗传算法对模糊神经网络的学习速率和惯性系数等进行了优化，为控制系统实现最优控制提供了有力保证。
A method is presented for control parameters self-optimization of fuzzy controller in order to obtain a optimal fuzzy controller.
针对模糊控制器中的控制参数提出了一种自寻优方法，可获得一个基于一定性能指标的最优模糊控制器。
The dimensions of input varieties of a fuzzy controller are depressed by designing a fusion function using the optimization control theory , and the quality of the fuzzy controller was improved.
运用最优控制方法设计融合函数以降低模糊控制器的维数，减少模糊控制规则数，进而提高模糊控制器的性能品质。
The dimensions of input varieties of a fuzzy controller are depressed by designing a fusion function using the optimization control theory, and it can reduce the rules of fuzzy greatly.
运用最优控制方法设计融合函数以降低模糊控制器的维数，减少模糊控制规则数，进而提高模糊控制器的性能品质。
The dimensions of input varieties of a fuzzy controller are depressed by designing a fusion function using the optimization control theory, and it can reduce the rules of fuzzy greatly.
运用最优控制方法设计融合函数以降低模糊控制器的维数，减少模糊控制规则数，进而提高模糊控制器的性能品质。
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