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.
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。
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.
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。
As the nonlinearity, time-varying parameters and large lag make the control difficult, a predictive functional control method based on T-S (Takagi-Sugeno) fuzzy model is presented.
针对其存在非线性、参数时变和大延迟等难以控制的特性，提出基于T - S模糊模型的预测函数控制新方法。
As a computer control algorithm, Model Predictive Control (MFC) has many successful applications in industry control process and has become an important advanced process control strategy.
模型预测控制作为一种新型计算机控制算法，在工业控制界取得许多成功应用，现已成为一种重要的先进控制策略。
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.
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。
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。
In the paper presents the predictive out of a new generalized predictive Control is corrected by the error predictive model based on a new excite function BP arithmetic.
本文提出基于新的激励函数BP算法建立误差预测模型，修正新型广义预测算法的预测输出。
Meanwhile, fuzzy model and predictive control have their respective advantages in the problems above.
而模糊模型、预测控制在这些问题上具有各自的优势。
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。
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.
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。
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。
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。
Predictive control model for main fan synchronous motor is established on this fundamental.
在此基础上，建立了主扇同步机预测控制模型。
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。
As the recursive error is accumulated largely when the single BP network is regarded as predictive model, we propose the paratactic predictive control algorithm based on multi-BP networks.
针对单个BP神经网络作为预测模型时，递推多步预测误差积累大的缺点，本文提出多BP神经网络并行预测控制算法。
The author discusses optimal operating model for predictive control and optimum parameter. Based on that model , a algorithm is obtained.
对预测控制模型的建立、滚动优化计算及优化参数的选取进行了理论探讨。
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。
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。
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。
The design of the predictive control system based on Neural Network include designing control object model, designing predictive model and designing controller model.
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。
It is presented the identity conclusion method of C-R fuzzy model and the nonlinear predictive control of C-R fuzzy model.
提出了C -R模糊模型的辩识递推算法和C - R模糊模型的非线性预测控制算法。
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。
PID gain predictive control based on two approximation model is proposed for the problems of the traditional PID control and predictive control.
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。
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。
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。
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 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。
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