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.
结合模型预测控制策略，设计了高压钠灯连续调光二级控制系统。
Based on the strategy of constrained model predictive control, a two degree control system is designed for continuous light tuning of a high pressure sodium lamp.
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.
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.
模型预测控制的一个主要优点是能显式并优化处理控制量和状态量的约束。
An important advantage of model predictive control (MPC) is its ability to cope with constraints on controls and states in an explicit and optimal way.
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.
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.
并在多变量模型预测控制基本算法描述的基础上给出了这些功能的实现形式。
Some characteristics and their implementation are presented in the multivariable model predictive control algorithm.
模型预测控制（MPC）是现代控制理论在工业过程控制中成功应用的例子。
Model predictive control (MPC) is an example of successful applications of modern control theory in industrial processes.
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.
建立了基于模型方程的SOFC非线性模型预测控制算法(NMPC)应用。
Develop a nonlinear model predictive control (NMPC) for SOFC application. NMPC is well suited in the nonlinear control environment with specified constraints.
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.
系统全面地阐述了模型预测控制的概念、特点及模型预测控制系统的结构型式。
The author comprehensively expatiated on the concept, characteristics of the model predictive control and structural form of the model predictive control system.
提出基于非线性模型预测控制的快速汽门控制器设计方法并推导出控制规律解析式。
The design method based on nonlinear model predictive control is put forward, and analytical solutions are drawn from it.
模型预测控制(MPC)是当今石油、化工等工业中应用最为成功的先进控制技术之一。
Model predictive control (MPC) has become one of the most successful advanced control techniques in the chemical and petrochemical industry recently.
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.
将多变量模型预测控制技术应用于催化裂化汽油稳定塔的控制，有助于提高稳定塔的控制品质。
By applying multivariable model predictive control (MPC) technology, the control performance of the gasoline debutanizer of fluid catalytic cracking unit can be improved.
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.
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.
其次，针对编队飞行卫星队形保持控制，以对地等张角绕飞编队为背景设计相对轨道模型预测控制算法。
Secondly, a model predictive control method is designed for the satellite formation keeping and formation of invariant angular to the ground as the background.
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.
模型预测控制在处理不可测干扰时有明显的局限性，特别是对于类似斜坡一样的干扰，控制作用十分缓慢。
One of the limitations of model predictive control (MPC) is that the control action is very slow when immeasurable disturbances exist, especially when slop disturbance exists.
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.
针对网络化制造环境下动态供应链管理特点，利用分布式模型预测控制技术解决供应链中动态优化控制问题。
Aiming at characteristics of dynamic supply chain management under networked manufacturing, distributed model predictive control was applied to solve dynamic optimization control in supply chain.
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.
对于此类受限控制问题，模型预测控制可以取得满意效果，但在线优化的复杂性又阻碍了算法在实际中的推广。
Model predictive control can solve such problems, but the complexity of the online optimization makes it difficult to implement.
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.
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.
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.
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