pi network
英 [paɪ ˈnetwɜːk]
美 [paɪ ˈnetwɜːrk]
网络 型网络
双语例句
- A Tuning PI Current Control Approach of Inverter Based on Fuzzy Neural Network
基于模糊神经网络的变换器自适应控制方法 - Robustness analysis of PI active queue management in Ad hoc network
adhoc网络PI队列管理鲁棒性分析 - An Improved PI Active Queue Management Algorithm Based on Network State Parameters Estimation
基于网络状态参数估计的主动队列管理PI改进算法 - Design and analysis of predictive PI algorithm for congestion control in time-delay network
预测PI时滞网络拥塞控制算法设计及性能分析 - Electromyography Movement Pattern Recognition Based on the Wavelet Eigenvalues and Pi-sigma Network
以小波系数为特征值的Pi-sigma网络识别肌电信号 - The Measurement Uncertainty Analysis on Test Crystal Frequency of PI Network Crystal Tester
PI网络晶体测试仪测试晶体频率的测量不确定度分析 - PI and neural network controlled double closed-loop DC speed governing system simulations are performed respectively with load disturbance.
控制器采用模拟复合正交神经网络的直接自适应控制方法，并对带有负载干扰的直流双闭环调速系统作了PI控制与神经网络控制的仿真实验。 - A fuzzy PI controller is designed in load control circle according to the large delayed, intensive inertial and serious nonlinear characteristic of the system involving the boiler and steam supply network.
针对锅炉和供汽管网组成的系统大滞后、强惯性和严重非线性的特点，在锅炉负荷控制回路中，采用Fuzzy－PI双模控制器。 - With regard to a switching network model of a single node, the paper proposes the method of applying genetic algorithm to get the solution to the optimal identification of a proportional-plus-integrative ( PI) controller for congestion controlling, and gives the progress of parameter identification.
本文针对单个节点的交通流网络模型，提出将遗传算法应用于一个具有比例加积分（PI）结构的拥塞控制器的参数整定，给出了构造控制器反馈系数的遗传算法辨识过程。 - Robust stability of predictive PI control algorithm for delay network
时滞网络预测PI控制算法鲁棒稳定性分析 - The computer measurement system of crystal quartz ′ s parameters using PI network methods
π网络法石英晶片电参数计算机测量系统 - An Active Queue Management Algorithm Based on Predictable PI Controller in Self-Similar Network
一种基于预测PI控制器的自相似网络主动队列管理算法 - In a voltage source PWM rectifier, predictive current is adopted to decouple the active and reactive current flow of the rectifier, and an adaptive PI controller based on radial basis function neural network ( RBFNN) is used in the voltage loop to adjust the parameters.
运用预测电流对电压型PWM整流器的有功、无功电流实现解耦，电压环采用基于径向基函数（Radialbasisfunction，RBF）神经网络自适应调整参数的PI控制器。 - Based on the analysis of the PI control, the uniform random variable is substituted for the geometric random variable on the packet drop probability. The results from the network simulator simulations demonstrate the impact of the improvement.
对PI控制，可将丢弃数据包的概率从几何随机数改进为标准随机数，经网络仿真器仿真，结果表明，验证了该文提出的这一改进效果。 - PI Controller Based BP Network
基于BP网络的PI控制器的研究 - Discussion on the Application of PI System in Distribution Network Management
浅谈PI实时系统在配网运行管理中的应用 - Application of the Complex Pi-Sigma Network in Channel Equalization
CPSN在信道均衡中的应用 - Adaptive Predictive PI Algorithm for Active Queue Management in Large Delay Network
大时滞网络自适应预测PI主动队列管理算法 - This paper compounds CMAC Neural Network and PID control to replace the common used PI controller in DTC system, presents the simulate model based on Matlab software.
将小脑模型神经网络控制（CMAC）和PID控制结合起来，替代了直接转矩控制中常用的PI控制环节，并且构建了基于MATLAB的电动机控制仿真模型。 - The control strategy unites single neuron PI control algorithm and the predictive model based on neural network. The output of the controller is determined by PI algorithm.
采用单神经元PI控制算法与神经网络预测模型相结合的控制策略，用PI控制规律来确定控制器的输出。 - The fractional-order control system 、 the theory of fractional-order PI~ λ D~ μ and analysis method of stability are first discussed. Then the model of network traffic control system and its stability are introduced.
文章首先介绍了分数阶控制系统、分数阶PI~λD~μ控制器的原理和稳定性分析方法，接着给出了基于FARIMA的网络拥塞控制系统模型。 - While two mixing signals are input, the singular PI neural network is used to separate signals.
对输入2个混叠信号时，用单个PI神经网络分离； - An adaptive proportional integral-velocity ( API-V) controller for new active queue management scheme is proposed to improve the slow response of PI control, which is well suited to dynamic network environments.
针对PI控制器响应速度的不足，提出一种自适应网络动态变化的主动队列管理算法：API-V控制器。 - The selection of the appropriate network control strategy is also very important; this paper analyzes the network control strategy and selects PI control.
选择合适的并网控制策略也是非常重要的，本文在分析了并网控制策略的基础上选择了PI控制。 - In order to overcome the disadvantages of traditional PI controller, we applied fuzzy sliding mode control to network congestion control system, which does not need precise mathematics model. An AQM controller with both good steady-state response and transient response is obtained.
针对传统PI控制响应速度慢的缺点，将模糊滑模控制应用到网络拥塞控制系统中，充分利用其不需要精确的数学模型的特点，得到了一种稳态响应及暂态响应特性都较好的AQM控制器。 - And voltage feedback control loop is designed with PI regulator and compensating network in frequency domain based on the state-space model.
文中建立了高频链逆变电源主电路拓扑的状态空间模型，在频域内对高频链逆变电源系统的电压反馈控制回路进行了PI调节及网络补偿。 - This method uses BP neural network algorithm instead of the PI adaptive institutions of model reference adaptive speed identification, so as to effectively overcome the deficiency of PI adaptive law and get the high precision of speed identification.
该方法用神经网络BP算法代替模型参考自适应速度辨识的PI自适应机构，有效的克服了PI自适应规律存在的不足，提高了速度辨识精度。 - The paper focuses on how to use the fuzzy neural network regulator to replace the traditional PI speed regulator. Design and analysis the network structure, algorithms, and its stability.
论文重点研究了将传统的PI转速调节器用模糊神经网络调节器进行替代的实现，对网络的结构、算法以及稳定性进行了设计和分析。 - By using real-time database and network, which can realize real-time data acquisition, the research mainly used the real-time database software PI.
通过运用实时数据库和网络等新技术，来实现现场实时数据的采集，此次研究主要由实时数据库软件PI来实现。 - Therefore, a parameter self-tuning PI controller based on fuzzy inference method and a fuzzy controller based on neural network are mentioned in this paper.
因此，本文又分别提出了自整定模糊-PI控制策略和基于神经网络的自适应模糊控制策略。