Using the PSO algorithm to optimize the on-line PID controller's parameters, desirable control effect is obtained.
通过运用PSO算法对PID控制器参数进行在线调整，使模型参考自适应控制达到理想的控制效果。
In view of the shortages of admission control in former algorithms, an on-line measurement based admission control algorithm on VBR video servers is proposed in this paper.
针对传统算法接纳控制方面的不足，论文提出基于在线测量的VBR视频服务器接纳控制算法。
A kind of PID controller with fuzzy algorithm setting on-line PID parameters automatically was designed and applied in brushless DC motor speed control system.
通过设计一种模糊pid控制器，应用模糊算法在线自动整定PID参数的方法，将其应用于无刷直流电动机调速控制系统。
Distributed optimization algorithm is an efficient control strategy to reduce the on line computational complexity of model predictive control for large scale systems.
分布式求解策略是为了降低大规模预测控制系统在线实施的计算量和计算复杂性而提出的一种有效算法。
RBF network on line recognition, single neuron PID control and control algorithm are introduced.
介绍了RBF网络在线辨识、单神经元PID控制器和控制算法。
The simple improved back propagation algorithm of the SNC is liable to real-time and on-line control.
单神经元控制器(snc)结构简单，改进的反向传播算法适合实时在线控制。
Based on multi class services, this paper proposes an on line Call Admission Control algorithm for multi class resource sharing (OCAC).
本文针对多种业务类型提出了一种在线呼叫接入控制算法(OCAC)。
A closed loop control method for the matrix converter based on double line to line voltage synthesis algorithm is proposed in this paper.
该文提出了一种基于双电压合成矩阵变换器的闭环控制方法。
This paper adopts the method, which is based on SQL database file, to realize the control algorithm parameters modify on-line.
系统创新性的提出基于SQL数据库文件的控制算法参数在线整定。
It is simple for calculation, easy to be implemented for on line control, and free from steady state error produced by the algorithm given by Yoshisuke Misa-ka.
这一算法简单，易于在线实时控制，并且消除了美坂佳肋所给前馈最优算法所产生的稳态误差。
An active noise self-tuning model predictive control approach is derived. An on-line learning algorithm is proposed for adjusting the uncertain model parameters.
将预测控制方法应用到有源噪声控制领域，给出了一种参数在线自适应算法，该算法的收敛速度不受次级声路径响应的影响。
An active noise self-tuning model predictive control approach is derived. An on-line learning algorithm is proposed for adjusting the uncertain model parameters.
将预测控制方法应用到有源噪声控制领域，给出了一种参数在线自适应算法，该算法的收敛速度不受次级声路径响应的影响。
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