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.
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。
Model predictive control (MPC) is an example of successful applications of modern control theory in industrial processes.
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。
A robust model predictive control (MPC) scheme based on fuzzy modelling is proposed for a nonlinear system.
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。
By applying multivariable model predictive control (MPC) technology, the control performance of the gasoline debutanizer of fluid catalytic cracking unit can be improved.
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。
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。
A feedback scheduling based on model predictive control (FS-MPC) was presented to improve the control performance of real-time control system subject to limited computational resource.
提出一种基于模型预测控制(MPC)的反馈调度算法(FS - MPC)，可以在有限计算资源的情况下改进实时控制系统的性能。
Model predictive control (MPC) refer to a class of control algorithms that optimize the current input by predicting the future behavior of system based on system dynamic model.
模型预测控制(MPC)是一种根据系统动态模型和历史信息，通过对系统未来行为的预测来优化当前输入的控制策略。
Model predictive control (MPC) has become one of the most successful advanced control techniques in the chemical and petrochemical industry recently.
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。
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.
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。
Two-step model predictive control is applied, which decomposes the MPC problem into a dynamic optimization problem upon linear model and a static rooting problem of nonlinear algebraic equation.
采用两步法预测控制，即将预测控制问题分解为一基于线性模型的的动态优化问题及一非线性模型的静态求根问题。
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.
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。
Since 1970's, model predictive control (MPC), which has advantage of good robustness and easily modeling, has widely applied in the industry.
预测控制自上世纪70年代产生以来，因其对模型要求低、具有较强鲁棒性等特点，在生产过程中获得了广泛的应用。
Since 1970's, model predictive control (MPC), which has advantage of good robustness and easily modeling, has widely applied in the industry.
预测控制自上世纪70年代产生以来，因其对模型要求低、具有较强鲁棒性等特点，在生产过程中获得了广泛的应用。
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