并对军事系统预测模型控制器及其在后勤系统中的应用进行了探讨研究。
This paper also discuss predictive model controller for military systems and the application in military logistics systems.
选择受模型的目标所控制，比如试图帮助的计算和预测。
The selection is guided by the goals of the model, such as which calculations and predictions you are trying to assist.
针对网络化制造环境下供应链需求不确定的特点，采用模型预测控制技术解决供应链管理中库存的动态优化问题。
Model predictive control was applied to solve the dynamic optimization problems of the inventory in supply chain management for the demand uncertainty of supply chain under networked manufacturing.
本文中提出了基于ARMAX模型的新型广义预测控制，揭示了其控制策略与模型算法控制(MAC)之间的内在联系。
In this paper, a new type of generalized predictive control based on ARMAX model is proposed. The internal relations between the control strategy and model Algorithmic control (MAC) are revealed.
论文的主要结果有(1)对双速率采样系统，分别给出了基于状态空间模型和输入输出模型下的预测控制器的设计方法。
The main results are: (1) For a dual-rate sampled system, the design methods of predictive controller based on state-space model and input-output model are given respectively.
预测控制模型的应用可提高对地板辐射供暖系统的控制精度，使室内温度控制在设定范围内，保证了室内的热舒适性。
The application of the model can improve the control accuracy of radiant floor heating system, and control indoor temperature within a given range, thus ensure indoor thermal comfortableness.
针对其存在非线性、参数时变和大延迟等难以控制的特性，提出基于T - S模糊模型的预测函数控制新方法。
As the nonlinearity, time-varying parameters and large lag make the control difficult, a predictive functional control method based on T-S (Takagi-Sugeno) fuzzy model is presented.
通过小波及小波变换的原理和方法，建立了适用于武器装备研制费用的小波神经网络预测与控制模型。
The wavelet neural network model to forecast and control equipment development expense is established on the basis of theory and method of wavelet together with its transform.
通过实验方法建立了系统的ARX模型，并在此基础上设计了预测控制器对结构进行振动主动控制。
An experiment method was used to identify ARX model of the system, based on which the predictive controller was obtained to control vibration of a cantilever beam.
模型预测控制作为一种新型计算机控制算法，在工业控制界取得许多成功应用，现已成为一种重要的先进控制策略。
As a computer control algorithm, Model Predictive Control (MFC) has many successful applications in industry control process and has become an important advanced process control strategy.
经加工试验证明了该表面粗糙度预测模型的有效性，从而实现加工前在确定切削条件下预测和控制表面粗糙度的目的。
It proves that this prediction model is effective by machining experiments. Using prediction model can predict and control surface roughness under certain condition.
而模糊模型、预测控制在这些问题上具有各自的优势。
Meanwhile, fuzzy model and predictive control have their respective advantages in the problems above.
针对化工过程某些非线性系统的不对称动态特性，提出了一种基于自校正模型的多模型预测控制算法。
To handle the unsymmetrical dynamic characteristics of some nonlinear systems in chemical process, a multi-model predictive control method was proposed based on self-tuning model.
基于模型预测控制技术的MCC是一种带有约束、多变量和灵活控制任务切换的优化控制器。
Based on model predictive control techniques, MCC is a multivariable constrained optimal controller with easy task switching.
针对离散不确定模糊模型，提出了一种鲁棒非线性模型预测控制方法。
A robust model predictive control (MPC) scheme based on fuzzy modelling is proposed for a nonlinear system.
这个模糊控制模型可以预测在任何给定一组加工参数时，可获得的切割深度。
This particular model predicts the depth of cut achievable with any given set of process parameters.
介绍了模型预测控制在PTA装置中的应用。
The application of Model Predictive Control to PTA equipment is presented.
利用该模型进行的精度预测结果表明，该模型的预测误差可以控制在10 %以内，具有很高的精度预测能力。
The prediction results show that the error of accuracy prediction can be controlled within 10% by using the proposed model, which is of excellent capability of accuracy prediction.
在此基础上，建立了主扇同步机预测控制模型。
Predictive control model for main fan synchronous motor is established on this fundamental.
给出了电力市场环境下基于电压安全的最优预测控制的模型及算法。
Proposes the model of optimal preventive control based on voltage security in electricity markets.
针对供应链网络需求不确定的特点，采用模型预测控制技术解决供应链管理中库存的动态优化问题。
Model predictive control is applied to solve dynamic optimization of the inventory in supply chain management according to the demand uncertainty.
模型预测控制(MPC)，也称为滚动时域控制(RHC)，是一种基于模型的控制理论，采用线性或非线性模型预测系统的活动。
Model predictive control (MPC), also known as receding horizon control (RHC), is a class of model-based control theories that use linear or nonlinear process models to forecast system behavior.
以本城轧辊弹性变形理论为基础，通过模型简化和离散化建立了板凸度预报模型、板形预测模型及板形控制反馈修正模型。
The predicted models of plate crown, the prediction and feedback models of plate shape are set up on the basis of Ben Cheng's elastic deformation theory by simplifying and discretizing the models.
本文设计了基于神经网络技术的预测控制系统，包括控制对象模型的设计、预测模型的设计和控制器的设计。
The design of the predictive control system based on Neural Network include designing control object model, designing predictive model and designing controller model.
在实施模型预测控制技术的过程中，一个良好的控制系统不但要保证系统的稳定性和生产的安全性，还要带来一定的经济效益。
A good control system should not only ensure stability of system and safety of production, but also can bring economic benefit when a model predictive control technique is taken into effect.
应用模糊控制的逻辑推理性能，借助神经网络的学习能力，提出了一种模糊神经网络预测控制模型。
A fuzzy neural network prediction control model is stated by using the logic inference performance of fuzzy control and the learning ability of neural network.
最后，仿真结果表明，模型预测控制技术在预测合理库存水平以及控制动态、不确定的供应链系统是可行的。
Finally, the feasibility of model predictive control can forecast reasonable inventory level and control dynamic and uncertainty supply chain system are shown by the simulation results.
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 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 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.
应用推荐