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。
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.
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。
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。
The control strategy unites single neuron PI control algorithm and the predictive model based on neural network. The output of the controller is determined by PI algorithm.
采用单神经元PI控制算法与神经网络预测模型相结合的控制策略，用PI控制规律来确定控制器的输出。
A direct generalized predictive control algorithm of MIMO systems based on multivariable grey model is presented.
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。
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。
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.
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。
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。
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.
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。
A generalized predictive control algorithm is developed with the predictive model to realize the course maintenance with stability and robustness.
进而通过建立预测模型，并结合广义预测控制的算法达到航向保持的目的，且具有较好的稳定性和鲁棒性。
A two level coordination algorithm is presented for moving horizon optimization of predictive control based on NARMA model.
针对NARMA模型，提出了预测控制滚动优化的两级协调法。
A novel neural network predictive control algorithm is proposed for a class of nonlinear system with special model.
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。
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 simulation results validate that the adopted predictive model has better anti-disturbance and generalization abilities, and the predictive control algorithm can realize the control objects.
仿真结果验证了所采用的预测模型具有比较好的抗干扰能力和泛化能力，预测控制算法能够实现控制目标。
A nonlinear generalized predictive control algorithm based on a Hammerstein model with long range predictive identification is presented.
推导了基于远程预报辨识的非线性广义预测控制算法。
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。
A nonlinear predictive control algorithm based on least squares support vector machines (LS-SVM) model was proposed.
提出一种基于最小二乘支持向量机(LS - SVM)的非线性系统预测控制算法。
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。
Predictive control algorithm, based on predictive model and using fast digital computer, is a new type algorithm in industrial process control since 70's.
建立在预测模型基础上、以快速数字计算机为手段的预测控制算法，是七十年代以来工业过程控制中的一类新型算法。
A nonlinear predictive control algorithm based on fuzzy model was presented for a family of complex systems with severe nonlinearity such as of Proton exchange membrane fuel cell (PEMFC).
针对质子交换膜燃料电池(pemfc)等一类具有严重非线性的复杂被控对象，提出一种基于模糊模型的模糊预测算法，并对PEMFC系统进行建模。
Through modifying the CPN model, a kind of fuzzy multistep predictive control algorithm is proposed in this paper.
本文通过修正CPN模型，提出了一种模糊多步预测控制算法。
Based on the DLF model, a nonlinear predictive control algorithm is proposed in the paper. The significant feature of the suggested control strategy lies in its low online computing burden.
在DLF模型的基础上，本文研究了一种非线性预测控制算法，它的显著特点是在线计算量小。
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。
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。
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