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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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.
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。
For the uncertain nonlinear system, the multiple-model predictive control is studied which combines the switching method for the nonlinearity and the one for the model uncertainty.
提出了不确定非线性系统多模型预测控制的新方法，它结合了针对非线性的基于系统输出的切换方法和针对不确定性的模型切换方法。
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。
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.
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。
The controller expression with undetermined parameters can be acquired by using backstepping design idea, and the controller parameters are optimized online by using model predictive control.
用反步设计思想获得具有待定参数的控制器表达式，然后用预测控制在线优化获得控制器的参数。
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。
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.
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。
The application of Model Predictive Control to PTA equipment is presented.
介绍了模型预测控制在PTA装置中的应用。
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。
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。
应用推荐