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。
According as compare of voltage deviation and its variable ratio, optimal control of voltage and current is realized with querying fuzzy control sheet and adjusting adverse variable pulse width.
比较电压偏差及其变化率，查询模糊控制表，调节逆变脉宽，可实现电压及电流的理想控制。
Fuzzy optimal control arithmetic was designed for each module, and an improved BP neural network was introduced to implement the fuzzy relation.
对每个控制模块设计了相应的模糊优化控制算法，并用改进的BP神经网络实现算法的模糊关系。
Based on fuzzy T-S model, a fuzzy method with self-learning capability for batch process modeling and optimal control is presented.
基于模糊t - S模型，提出一种具有自学习能力的模糊方法用于批过程建模和最优控制。
Floating-point coding is adopted to optimize fuzzy control rules, it can improve the efficiency and accuracy of calculation, also can guarantee fastness and global optimal.
采用浮点数编码对模糊控制规则进行优化，既提高了运算效率和计算精度，又保证了控制系统的快速性和全局最优性。
The fuzzy controller ACTS as an adaptive gain variable linear optimal controller, and it can satisfy the multi objective control requirements of the TCSC system.
该模糊控制器相当于自适应变增益的线性最优控制器，能满足系统多目标控制的要求。
Based on the multi constraints fuzzy optimal control model the optimal solution is sought under satisfying constraints.
根据多约束模糊最优控制模型，寻求满足约束前提下的最优解。
According to the characteristics of PID control and fuzzy control, a driver model of steering direction control for automobiles is established based on the preview optimal curvature model.
在预瞄最优曲率驾驶员模型的基础上，根据PID控制、模糊控制的特性，建立了加速度反馈模糊—PID控制驾驶员模型。
An optimal control scheme based on fuzzy neural network is proposed through simulating the process of the control system.
通过对控制系统的过程模拟，提出一种模糊神经网络最优控制方案。
The experiment results of the methods such as optimal regulator control, fuzzy control and adaptive control show that satisfactory effects can be obtained with each one of these methods.
证明了最优调节器防摆、模糊控制防摆和自适应防摆等都有良好的防摆效果。
In this paper, we consider the problems of optimal guaranteed cost control for T-S fuzzy descriptor systems with uncertain parameters.
研究参数不确定的广义t - S模糊系统的最优保成本控制问题。
The paper proposes a new way to design a fuzzy inference machine. On the basis of a linear optimal excitation controller, the fast fuzzy adaptive excitation control of the generator is realized.
提出了一种新的模糊推理机和设计方法，并在线性最优励磁控制器的基础上，实现了发电机励磁的快速模糊自适应控制。
Then a fuzzy logic controller was designed as a regulator to modify the optimal control gains based on the run-time information, including navigation, communication, mission priority, and so on.
然后，设计模糊逻辑控制器，利用编队运行中的导航信息、通信信息以及任务优先级信息，对控制器增益进行模糊调节。
In this article, we will study the multi-dimensional multistage fuzzy optimal control question, which mainly draw support from the Bellman optimality principle.
本文主要将借助贝尔曼最优性原理，来研究一下多维多阶段的模糊最优控制问题。
This paper considers the optimal admission control to a queueing network which consists of three working stations and two classes of customers, by use of fuzzy logic.
运用模糊逻辑方法研究了由三个工作站和两类不同顾客组成的一个排队网络中对顾客的最优准入控制问题。
In the area of intelligent control, a fuzzy controller with PFLC for Cart and Pole control system is designed and debugged. Parameters of the system can be deduced by the theory of optimal control.
在智能控制领域，利用PFLC设计并调试了倒立摆模糊控制系统，系统参数可由线性二次型最优控制的方法导出。
The nonlinear and non-stationary behavior of traffic makes the modern optimal control computational complexity and low accuracy. A fuzzy control method for freeway traffic is proposed.
由于交通的非线性和不稳定特性，模型最优控制计算复杂且精度低，进而提出了一种模糊控制方法。
The processing strategy can not only guarantee to realize the outputs of the control system in priority order, but also make them in the optimal fuzzy satisfying degree.
采用新的模糊处理策略，不但可以保证系统柔性输出优先级顺序，而且能够最大程度地保证输出量在某种模糊满意度下的满意控制。
The problem of fuzzy optimal control for nonlinear time-delay system was considered based on the framework2 of T-S( Takagi-Sugeno) fuzzy model and parallel distributed compensation(PDC) controller.
基于T S模糊模型和平行分布补偿器（PDC） ，讨论了非线性时滞系统的模糊最优问题。
The control of the optimal operation of drainage stations based on fuzzy algorithm;
以机构方案优选为例列举了新的模糊算术运算综合评价的步骤。
The control of the optimal operation of drainage stations based on fuzzy algorithm;
以机构方案优选为例列举了新的模糊算术运算综合评价的步骤。
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