Firstly, it considers the simple linear model predictive control algorithms.
首先考虑简单的线性预测控制。
A nonlinear model predictive control (NMPC) strategy based on T_S fuzzy model is proposed.
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。
Model predictive control based on the local linearization state-space model is introduced in detail.
详细的介绍了基于局部线性化状态空间模型的预测控制算法。
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。
Some characteristics and their implementation are presented in the multivariable model predictive control algorithm.
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。
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。
The design method based on nonlinear model predictive control is put forward, and analytical solutions are drawn from it.
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。
Based on model predictive control techniques, MCC is a multivariable constrained optimal controller with easy task switching.
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。
Robust model predictive control is proposed for a class of nonlinear systems with constraint inputs based on fuzzy T-S 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。
Model predictive control can solve such problems, but the complexity of the online optimization makes it difficult to implement.
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 mismatch is a common problem in model predictive control, as well as one of the most important reasons of bad performance.
模型失配是预测控制中普遍存在的问题，是导致预测控制器性能下降的重要原因。
In Stochastic Model Predictive Control, chance constraints are presented and the objective function is an mathematical expectation.
在随机预测控制中，约束是机会约束，目标函数是数学期望，滚动优化求解的是随机优化问题。
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。
Model predictive control is applied to solve dynamic optimization of the inventory in supply chain management according to the demand uncertainty.
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。
The paper presents an optimal control scheme based on moving optimization principle of model predictive control for linear system with constraints.
以预测控制的滚动优化原理为基础提出了一种约束线性系统的最优控制方法。
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。
Furthermore, using a state space model based predictive control algorithm, a multi-composition feedback model predictive control strategy is developed.
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。
The simulative results show that the control performance of the model predictive control system is superior to that of the traditional cascade control system.
仿真结果表明，较之传统的过热汽温串级调节系统，采用该模型预测控制策略的过热汽温控制系统的控制性能有很大的提高。
Develop a nonlinear model predictive control (NMPC) for SOFC application. NMPC is well suited in the nonlinear control environment with specified constraints.
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。
Secondly, a model predictive control method is designed for the satellite formation keeping and formation of invariant angular to the ground as the background.
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。
The author comprehensively expatiated on the concept, characteristics of the model predictive control and structural form of the model predictive control system.
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。
An active noise self-tuning model predictive control approach is derived. An on-line learning algorithm is proposed for adjusting the uncertain model parameters.
将预测控制方法应用到有源噪声控制领域，给出了一种参数在线自适应算法，该算法的收敛速度不受次级声路径响应的影响。
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.
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。
Distributed optimization algorithm is an efficient control strategy to reduce the on line computational complexity of model predictive control for large scale systems.
分布式求解策略是为了降低大规模预测控制系统在线实施的计算量和计算复杂性而提出的一种有效算法。
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。
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。
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) 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) 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。
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