Based on the algorithm, this paper presents further new fuzzy control algorithms with self-optimizing fuzzy sets.
在可变模糊集的模糊控制器的基础上，进一步讨论了模糊集自寻优问题，提出模糊集自寻优算法。
Besides the typical PID controlling method, concatenation, feedforward and fuzzy control algorithms are used. As the result, the control functions of the system are efficiently improved.
在控制软件方面除采用经典的PID控制外，还引入了串级、前馈及模糊控制等算法，有效地提高了系统的控制性能。
This paper brings the fuzzy neural network algorithms into the call admission control in ATM networks. The simulation result shows that it has better effect than usual algorithms.
本文采用模糊神经网络算法对AT M网络进行连接接纳控制，仿真结果表明它比传统的算法有更好的效果。
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。
Two major control algorithms, fuzzy control algorithm of frequency and voltage and prediction control algorithm for switch-on, are analyzed in detail.
重点分析了准同期并列过程中涉及的主要控制算法：模糊调频、调压控制算法和合闸控制预测算法。
The paper also refers several fuzzy PID intelligent composite control algorithms that are applicable to non-minimum phase system with time delay.
提出了几种适用于时滞及非最小相位系统的模糊pid智能复合控制算法。
We used the fuzzy control and decoupling algorithms for this control system, and obtained a satisfactory result.
采用模糊控制算法和模糊解耦算法，可以获得满意的控制效果。
The kernel of fuzzy control system is fuzzy control algorithm. For the choice of conjunction, implication, aggregation, and de-fuzzy operator is very different, make the algorithms varied.
模糊控制系统的核心是模糊控制算法，由于其合取算子、蕴涵算子、汇总算子和去模糊化算子选取的不同，使其算法区别很大。
The fuzzy PI control algorithms of speed and torque is proposed for the testing and controlling system of (electrical) -vortex engine test bed.
提出内燃机试验台测控系统的转速和转矩模糊pi控制算法。
We also propose novel ideas in optimizing the fuzzy control rules, using genetic algorithms.
在此基础上提出了采用遗传算法对压实参数模糊控制规则进行优化的新思路。
In this thesis, soft computing based control algorithms including genetic algorithms (GA), fuzzy control, neural networks (NN) and their different combinations are discussed systematically.
本论文对包含遗传算法、模糊逻辑控制和神经网络的软计算的智能控制及其几种不同结合方式做了较为系统的研究。
This design also gave the hardware circuit of the thermostat water tank and the fuzzy algorithms which accorded to the control demands.
本设计亦给出了恒温水箱具体的硬件电路，以及符合控制要求的模糊算法。
At last, the thesis suggests using the method of Genetic Algorithms to optimize the rules of fuzzy control.
最后，论文提出采用遗传算法对模糊控制规则进行优化设计。
Some classical queue control algorithms can not insure the QoS for high level applications. Aiming at this problem, this paper proposes a queue control algorithm based on fuzzy control rule.
一些经典网络队列控制算法无法确保高优先级用户应用的服务质量，针对该问题提出基于模糊控制规则的队列控制方法。
On the basis of the research on various group control algorithms of elevators, the group control algorithm based on multiple object fuzzy comprehensive judgement is stated.
在研究多种电梯群控智能算法的基础上，提出基于多目标模糊综合评判的电梯群控算法。
After that, many control algorithms are studied based on dynamics analysis and model foundation, then the intelligent fuzzy sliding mode controller is proposed and designed.
接着，在对并联机构进行动力学分析和建模的基础上，研究了多种控制算法，最终提出并设计了智能模糊滑模控制器。
The feasibility and the way of realizing the fuzzy neural network control algorithms using configuration software is re-searched.
研究了利用MCGS组态软件实现模糊神经网络控制算法的可行性和方法。
In this paper, a fuzzy logic control based on genetic algorithms for complex nonlinear vibration systems of multiple degree of freedom is proposed.
本文对于复杂的多自由度非线性振动系统提出了基于遗传算法的主动模糊控制方法。
On the basis of introducing conception and approach of Genetic Algorithms, the article analyzes the use of Genetic Algorithms in Neural network and Fuzzy Control.
文章在介绍遗传算法的概念、实现方法的基础上，分析了遗传算法在神经网络及模糊控制中的应用。
Genetic Algorithms, Neural Network and Fuzzy Control are important research fields in artificial intelligence.
遗传算法、神经网络与模糊控制是当前人工智能中的主要研究领域。
In succession, the paper introduces the control algorithms used in experiment, which include PID control, fuzzy logic control, DMC predictive control and relay feedback identification.
这是因为在相关实验中的控制器算法设计在基本原理上具有一致性。所应用的控制算法包括PID、模糊、DMC预测控制以及对象过程特性的继电反馈辨识。
As the mathematic model of the wheeled mobile robot is very complicated, a GA (genetic algorithms) fuzzy neural network method is presented for its steering control.
针对数学模型复杂的轮式机器人的转向控制问题，使用基于遗传算法的模糊神经网络转向控制方法。
As the mathematic model of the wheeled mobile robot is very complicated, a GA (genetic algorithms) fuzzy neural network method is presented for its steering control.
针对数学模型复杂的轮式机器人的转向控制问题，使用基于遗传算法的模糊神经网络转向控制方法。
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