介绍带有前馈的模型预测控制算法，并对精馏塔的灵敏板温度进行控制。
The advanced model predictive control algorithm, which of the function of feedforward, is introduced. The sensitive plate temperature of distillation column is controlled through this algorithm.
基于线性模型的模型预测控制研究已经相当成熟并得到了广泛的工业应用。
Research on linear predictive control has become mature and linear MPC has gained wide application in industrial processes.
并应用基于状态空间模型的模型预测控制算法，推导了间歇精馏塔多个浓度反馈时的模型预测控制策略。
Furthermore, using a state space model based predictive control algorithm, a multi-composition feedback model predictive control strategy is developed.
论文以具有大范围工况特点的实际系统为背景，结合混合逻辑动态模型来研究分段线性系统的模型预测控制。
Through logic variables, piecewise linear systems can be modified into a single-linear model and affiliated constraints with mixed logical dynamic systems.
在丙烯精馏塔的控制中，由于被控对象的非线性特性，采用线性模型的模型预测控制器难以保持良好的控制性能。
It is difficult to keep favorable controlling performance of model predictive control (MPC) by linear model due to controlled plant nonlinearity in propylene rectifier.
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.
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.
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.
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.
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.
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.
针对单调阶跃响应的单变量系统，提出一种基于简化模型的自适应预测控制算法。
In this paper, an adaptive predictive control algorithm based on a simplified model is proposed for a stable system with monotone step response.
对于复杂的离散时间非线性系统，提出一种基于多模型的广义预测控制方法。
A multiple model based generalized predictive control is provided for complex nonlinear discrete time system.
提出了一种新的基于T_S模糊模型的非线性预测控制策略。
A nonlinear model predictive control (NMPC) strategy based on T_S fuzzy model is proposed.
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.
研究了基于人工神经元网络模型的非线性预测控制。
The study of nonlinear predictive control based on artificial neural networks is carried out.
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.
利用该模型对发酵过程的预测控制，实验曲线表明，可获得较高的预测精度和较好的控制效果。
With this model the ferment process is predictively controlled. The experimental curves show that the accuracy of prediction is high and the control result is good.
提出一种基于二次逼近模型的PID增益预测控制，并阐述了该系统的结构、算法和应用特点。
PID gain predictive control based on two approximation model is proposed for the problems of the traditional PID control and predictive control.
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.
本文用已建立的发动机神经网络怠速模型，并采用DMC预测控制算法，完成了怠速控制的仿真研究。
By using the founded neural network model and DMC predict control algorithm, simulation research has been completed on the idle speed control in this pape.
针对具有高度非线性特性的连续搅拌反应釜(CSTR)控制过程，研究了基于神经模糊模型的预测控制策略。
In this paper, a predictive control strategy based on neuro-fuzzy model is applied to Continuous Stirred Tank Reactor (CSTR) process, which has characteristic of highly nonlinearity.
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.
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.
针对一类基于模糊T-S模型的输入受限非线性系统提出了鲁棒模型预测控制。
Robust model predictive control is proposed for a class of nonlinear systems with constraint inputs based on fuzzy T-S model.
针对液压伺服驱动连铸结晶器控制系统的数学模型，设计了预测控制器。
Aiming at the mathematical model of continuous casting mold control system driven by the hydraulic servo system, the predictive controller is designed.
结合神经网络和预测控制的优点，提出了一种神经网络模型预测控制算法。
The paper presents a neural networks predictive control algorithm based on the advantage of neural networks and predictive control.
为了解决切换多模型预测控制的抖动问题，提出了加权多模型模糊预测控制。
To solve the problem of perturbation of witching multi-model predictive control, weighted multi-model fuzzy predictive control is put forward.
为了解决切换多模型预测控制的抖动问题，提出了加权多模型模糊预测控制。
To solve the problem of perturbation of witching multi-model predictive control, weighted multi-model fuzzy predictive control is put forward.
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