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。
A new control strategy and method based on fuzzy control, expert system, self optimization and individual decoupling theory for tube mill control has been used.
以模糊控制、专家系统、自寻优理论和分级解耦理论为基础，针对各被控过程不同的具体要求，分别提出基于不同控制理论的控制策略。
Present applications of neural network are as follows: pattern-recognition, self-adaptation control, market analysis, decision optimization, prediction analysis, knowledge processing, etc.
当前神经网络的主要应用领域有：模式识别、自适应控制、市场分析、决策优化、预测分析、知识处理等。
The method integrates optimization of fuzzy control functions and on-line self-tuning of domain in fuzzy control system, which can largely improve qualities and adaptabilities of the system.
该方法将模糊控制函数的优化和模糊控制系统增益自适应调整集中于一体，可大大改善系统的品质和适应能力。
The engineering practice proved that the control system is robustness, operation self-adaptive, and can be used to solve the optimization problems both ball mill run and ball mill control.
工程应用表明，该控制系统能够解决球磨机运行优化和控制优化的双重问题，控制系统鲁棒性强，具有工况自适应能力。
This paper designs a self-optimization fuzzy control with prediction parameters for an off -body circulatory system in the area of biomedical science.
针对生物医学领域中肢体外循环系统，本文设计了一种带预测的参数自寻优模糊控制。
The technology involves the process control, concentration tracking, self-optimization, self-correction, AE control and a friendly man-computer interface.
内容包括工艺跟踪、浓度跟踪、自寻优、自校正、效应控制等技术以及友好的人机接口。
In this paper, a fuzzy control approach is used in the design of the control strategy of anti-skid braking systems, with self-regulation factors for optimization of the fuzzy control parameters.
本文将采用模糊控制设计防滑刹车的控制策略，并应用自调整因子算法对模糊控制的参数进行优化。
In this paper, the optimization design for self-adaptive control system of feed-forward neural network is proposed based on chaotic variable.
基于混沌变量，提出一种神经网络自适应控制系统的优化设计方案。
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 features of GA have been widely used applied in territories such as optimization, machine learning, treatment of signal, self-adoption control, artificial existence and so on.
遗传算法的这些性质，已被人门广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。
Control rule self-seeking-optimization fuzzy algorithm is used in the system.
算法采用控制规则自寻优模糊算法。
Control rule self-seeking-optimization fuzzy algorithm is used in the system.
算法采用控制规则自寻优模糊算法。
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