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.
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.
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.
作为基于模型的优化控制算法，如果模型预测控制算法的预测模型与实际对象的失配程度很严重，则仅靠整定控制器参数将难以改善控制器性能。
As a model-based control algorithm, the performance of controller will be hard to be improved only by re-tuning the parameters of controller if there is serious mismatch between model and plant.
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。
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.
基于多变量灰色系统模型，提出了一种MIMO系统的广义预测控制直接算法。
A direct generalized predictive control algorithm of MIMO systems based on multivariable grey model is presented.
针对单调阶跃响应的单变量系统，提出一种基于简化模型的自适应预测控制算法。
In this paper, an adaptive predictive control algorithm based on a simplified model is proposed for a stable system with monotone step response.
针对一类具有特殊模型的非线性系统本文提出了一种新型神经网络预测控制算法。
A novel neural network predictive control algorithm is proposed for a class of nonlinear system with special model.
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。
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.
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.
本文通过修正CPN模型，提出了一种模糊多步预测控制算法。
Through modifying the CPN model, a kind of fuzzy multistep predictive control algorithm is proposed in this paper.
给出了电力市场环境下基于电压安全的最优预测控制的模型及算法。
Proposes the model of optimal preventive control based on voltage security in electricity markets.
本文用已建立的发动机神经网络怠速模型，并采用DMC预测控制算法，完成了怠速控制的仿真研究。
By using the founded neural network model and DMC predict control algorithm, simulation research has been completed on the idle speed control in this pape.
与采用线性化模型相比，采用非线性派克模型可保证灰色预测控制输入数据的非负性，简化预测算法。
Compared with the commonly used linearized model, the nonlinear Park model guarantees the nonnegative input data in grey prediction control, simplifies the prediction algorithm.
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。
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.
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。
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.
模型算法控制(MAC)是预测控制的一种，在惯性迟延对象的控制中有很好的应用。
MAC is one kind of predictive control methods, and has found many applications in controlling objects with a big inertia and delay.
在预测控制的算法机理上给出了位置控制系统的预测模型，并在此基础上进一步介绍了基于预测控制理论的位置调节器程序的设计方法。
A predictive model of positioning system using predictive control algorithm is presented. The software design method of the positioner based on predictive control theory is introduced.
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。
It is presented the identity conclusion method of C-R fuzzy model and the nonlinear predictive control of C-R fuzzy model.
提出了电力市场环境下基于电压安全的最优预测控制的模型及算法。
For the structural control under seismic excitation, an algorithm of instantaneous optimal prediction control is presented.
本文将预测控制算法应用到纸浆浓度控制，该预测模型能够根据系统动态特性实行在线更新。
The adaptive predictive control is applied to the control of the Pulp Concentration. The predictive model used for the control is updated on the basis of the dynamic process.
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.
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.
仿真结果表明了该线性时变模型和参数估计算法的可行性，表明该自适应预测控制方法具有优良的控制品质。
Simulation results demonstrate the feasibility of the model and the parameter estimation algorithm, and show that the adaptive predictive control method has excellent control quality.
该算法将预测控制与多模型思想结合，通过模糊自适应加权算法计算权重，采用动态矩阵控制优化控制器参数。
The weights are calculated by fuzzy adaptive weight algorithm and the controllers are optimized by dynamic matrix control algorithm.
该算法将预测控制与多模型思想结合，通过模糊自适应加权算法计算权重，采用动态矩阵控制优化控制器参数。
The weights are calculated by fuzzy adaptive weight algorithm and the controllers are optimized by dynamic matrix control algorithm.
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