针对多容对象的流量控制，提出一种模糊神经网络控制器。
Presents a Fuzzy Neural Network Controller (FNNC) to multi capacity objects in flow control.
提出一种模糊神经网络控制器并用于机器人轨迹跟踪控制。
A fuzzy neural network is proposed for robot tracking control.
提出一种模糊神经网络控制器并用于机器人轨迹跟踪控制。
A fuzzy neural network was proposed for robotic tracking control.
在玻璃钢缠绕设备的控制系统中，设计了一种新型模糊神经网络控制器。
A new fuzzy neural network controller is designed in the winding machine.
提出了一种基于人工免疫原理的最优r BF模糊神经网络控制器设计方案。
A design scheme of optimal RBF fuzzy neural network controller is proposed based on artificial immune principle.
将这种模糊神经网络控制器应用于镍氢电池的充电控制中，证明了算法的有效性。
Such fuzzy neural network controller is applied to the control of nickel hydrogen battery charging, have proved the validity of the algorithm.
并结合模糊逻辑控制和神经网络控制的各自优点，设计温室模糊神经网络控制器。
Then, the controller based on fuzzy neural network for greenhouse system is designed through combining advantages of fuzzy logic and neural network.
从工程实际应用的角度出发，对模糊神经网络控制器的整个设计环节及应用过程进行了研究。
From the points view from actual industrial use, the applications and design procedures of fuzzy neural network controller are researched in this dissertation.
仿真结果表明，本文设计的模糊神经网络控制器能够有效降低车辆平均延误，满足实时控制的要求。
Simulation results show that the design of the fuzzy neural network controller can reduce the average delay of vehicles effectively, and meet the demand for real-time control.
本文进行了模糊神经网络控制器的应用研究，经过仿真实验证明该控制器能够获得较理想的控制效果。
This paper proposes a kind of fuzzy neural network control system based on learning algorithm and multi-valued function which derives from the fusion of the fuzzy logic and neural net…
仿真结果表明，所设计的模糊神经网络控制器能有效地减少单交叉口平均车辆延误，具有较强的学习和泛化能力。
Results of simulation show that the fuzzy neural controller can not only decrease the average vehicle delay but also possesses excellent abilities of learning and generalization.
本文以机器人为研究对象，针对其强耦合、非线性、多变量等特点，提出了一种模糊神经网络控制器组成的控制系统。
This paper USES robot as researched object that is of strong coupling, nonlinear and multi-variable characters. A control system is proposed which consists of a fuzzy neural network controller.
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.
该系统的控制器采用模糊神经网络控制器，它的控制器参数采用模拟退火算法全局优化来对BP算法进行改进的混合方法。
The parameters of the fuzzy neural network controller are optimized by the mixed learning methods with BP algorithm and Simulated Annealing algorithm which improves BP algorithm.
本文对电动助力转向系统设计了自适应模糊神经网络控制器，仿真结果表明该控制器能较好提高汽车转向时的轻便性和灵敏性。
Besides, an adaptive neural fuzzy control method is proposed to control the system, simulation results show the control method can better improve the steering portability and sensitiveness.
利用动态模糊神经网络控制器对并联平台的轨迹跟踪控制进行了仿真，结果表明此控制算法具有较好的跟踪性能和较强的鲁棒性。
The proposed DFNN controller was applied on tracking control system of 6-dof parallel platform, and the results show that this method has better tracking performance and robustness.
本文根据变量泵的具体情况，为其设计了自适应的神经网络模糊控制器，实现了变量泵的智能控制。
This paper describes that the combination of neural networks and fuzzy controller make the designing an intelligent controller for variable piston pumps become feasible and realistic.
基于模糊神经网络算法研究了非线性系统的噪声消除问题，设计了一类非线性自适应逆噪声消除控制器。
Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
本文使用有序神经网络和改进的模糊控制器构成了一种新型的神经模糊预测控制方法。
A new method of neural fuzzy predictive control using ordered neural networks and a improved fuzzy controller is presented.
采用模糊神经网络结合常规PD控制器的方法来进行机器人的运动控制，提出了提取模糊规则的方法。
Fuzzy Neural Network combined with conventional PD controller is used for the kinematics control and a fuzzy rule extraction method is put forward.
简要介绍了具有专家调整策略的神经网络自组织模糊控制器在食用酒精发酵温度控制中的应用。
This paper introduces fuzzy neural network controller self organization with expert modulating tactics for the application of edible alcohol ferment temperature control.
讨论了模糊逻辑和神经网络控制器在电液伺服位置系统中的应用。
Fuzzy logic and neural network controller and their applications in an electro hydraulic servo position system are discussed.
针对液压弯辊系统数学模型的非线性、时变特性，本文设计了一种模糊神经网络模型参考自适应控制器。
In view of the time-variable and nonlinear characteristics of mathematical model of hydraulic bending roll system, this thesis design a new nonlinear adaptive controler based on fuzzy neural network.
针对矢量控制交流调速系统，该文提出并设计了一种基于再励学习的模糊神经网络速度控制器。
For vector control AC drive system, the thesis presented a fuzzy neural network speed controller based on reinforcement learning.
本文提出一种基于T -S模型的变结构模糊神经网络直接逆模型控制器，并将其应用于移动机器人的运动控制中。
A direct inverse model controller of fuzzy neural network with changeable structure based on t s inference is presented in this paper and it is used to the motion control of mobile robot.
本文提出一种基于T -S模型的变结构模糊神经网络直接逆模型控制器，并将其应用于移动机器人的运动控制中。
A direct inverse model controller of fuzzy neural network with changeable structure based on t s inference is presented in this paper and it is used to the motion control of mobile robot.
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