通过研究高砷金精矿真空脱砷的动力学发现：高砷金精矿的真空脱砷是一个多步骤混合控制的复杂过程。
To remove arsenic from high arsenic-bearing gold concentrate in vacuum is subject to a complex process of multistep and composit controlling.
针对单个BP神经网络作为预测模型时，递推多步预测误差积累大的缺点，本文提出多BP神经网络并行预测控制算法。
As the recursive error is accumulated largely when the single BP network is regarded as predictive model, we propose the paratactic predictive control algorithm based on multi-BP networks.
空间矢量脉宽调制和双向开关多步换流方式是矩阵式变换器的基本控制策略。
Space vector pulse width modulation(SVPWM) and multi-step commutation method of bi-directional switches are the basic control strategies of the matrix converter.
提出了一种基于多步递推预测的广义预测自适应控制算法。
In this paper, a generalized predictive adaptive control algorithm based on multi-step regressive predication is presented.
采用神经网络逆控制的思想设计小波神经网络控制器，引入多步预测性能指标函数对控制器权值进行在线训练。
WNN controller with the idea of neural networks inverse control is applied. Using multi-step predictive index function to train the weights of controller.
采用多步反应法，还可控制粒子的大小，并保持粒子外形的各向异性不变。
By adopting multi step reaction, the particle's size can be desirably controlled and the anisotropy of the particle's shape can also be kept.
实现了预测控制的三个环节：多步预测、滚动优化、反馈校正。
This method implements the three laches of GPC: multistep prediction, recursive optimization, feedback emendation .
本文主要研究一类多步长非线性采样控制系统，探讨系统进行采样过程中产生量化误差的情况下其解的稳定性质。
In this paper, we mainly study a kind of multirate nonlinear sampled-data control systems, and discuss the stability properties of its solution while its sampler produces quantization during sampling.
针对单弧度弯曲大变形无裂纹轴校直问题，根据广义预测控制理论，建立了多步校直行程预测算法。
However to the large deformation shaft without crack, general predictive theory has been applied to built up the multi-steps straightening stroke predictive algorithm.
针对工业过程的特点和控制要求，提出一种基于多步预测的神经网络自适应控制算法。
Adaptively controlling algorithm based on neural network of multi-step prediction was proposed for the industrial processes.
设计了确定性网络控制系统的输出反馈控制器和具有时延补偿功能的多步预测控制器；
The output feedback controller and multiple-step predicting controller for compensating time delay are designed.
仿真实验表明，基于多步预测的PID型神经网络控制系统能有效抑制随机干扰，具有较强的适应性和鲁棒性。
Simulation res ults prove that this new multi-step prediction based on PID-like neural network control system can effectively attenuate random noise interference and is more robust and adaptive.
本文通过修正CPN模型，提出了一种模糊多步预测控制算法。
Through modifying the CPN model, a kind of fuzzy multistep predictive control algorithm is proposed in this paper.
PLC及步进马达控制系统，吸取、平移、整合、贴附、传输多步骤。
PLC and the stepper motor control system, suck in, translation, integration, attached, multi-steps transmission.
针对控制网络中固有的随机传输延迟，提出了一种新颖的控制模式，实现了对存在多步随机传输延迟的网络控制系统的数学建模。
The transmission delays introduced by the network should be taken into consideration during the design of the network-based closed loop control system.
针对控制网络中固有的随机传输延迟，提出了一种新颖的控制模式，实现了对存在多步随机传输延迟的网络控制系统的数学建模。
The transmission delays introduced by the network should be taken into consideration during the design of the network-based closed loop control system.
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