结果表明，动态矩阵预测控制算法控制明显。
The simulation result shows that dynamic matrix predictive control algorithm is effective.
提出一种基于BP网络的非线性预测控制算法。
An algorithm of nonlinear predictive control method based on BP neural networks is proposed.
动态矩阵控制是一种应用广泛的预测控制算法。
提出并实现了以知识发掘为理论依据的预测控制算法。
Make and have realized the forecast control algorithm that knowledge discovery for theoretical basis.
推导了基于远程预报辨识的非线性广义预测控制算法。
A nonlinear generalized predictive control algorithm based on a Hammerstein model with long range predictive identification is presented.
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.
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.
本文首先提出了一种非线性预测控制算法用于控制蒸馏塔温度。
A nonlinear predictive control algorithm to control tower's temperature of the device is first proposed.
提出一种基于径向基函数(RBF)神经网络的一步超前预测控制算法。
In this paper, a one-step ahead predictive control algorithm based on Radial base Function (RBF) neural networks is proposed, which needs only one neural network.
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.
针对注塑机炉温的闭环自动控制实现问题，提出了一种模糊预测控制算法。
A fuzzy predictive control algorithm was proposed for closed loop automatic control of stove temperature of injection mould.
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.
然后对此闭环系统设计一组单变量的线性预测控制算法以获得良好的动态特性。
And then a set of SISO linear predictive control algorithms was constructed to be used on the closed-loop system.
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.
本文可作为在鲁棒预测控制中应用lmi和用微机实现鲁棒预测控制算法的参考。
This paper can serve as a reference for applying LMI in robust predictive control and carrying out robust predictive control algorithm on microcomputer.
针对非线性系统的控制问题，提出了一种采用黄金分割法的神经网络预测控制算法。
For the control of nonlinear system, a neural network predictive control strategy based on Golden Section Algorithm is presented.
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.
其研究方法是以室内人体舒适度作为控制目标，采用预测控制算法实现人体舒适度的调节。
The purpose of the subject research is to make people content with indoor environment by the way of controlling PMV.
最后，将广义预测控制引入到舵减纵摇的研究中，探讨了基于状态空间的广义预测控制算法。
Finally, the algorithm of predictive control based on state space is studied by introducing the generalized predictive control into the research of anti-pitching for ship.
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.
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。
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.
广义预测控制算法是一种新型的计算机控制方法，自从其出现后，受到了工业界和控制界的青睐。
Generalized predicative control (GPC) is a new computer control method, after it presented, it was got favor by industry and control area.
并着重研究了广义预测控制与自校正机制相结合的问题，提出了一种直接自校正广义预测控制算法。
The focus of research in this thesis is the combination of the self-tuning method and GPC. As a result of study, a new direct self-tuning GPC algorithm is proposed.
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.
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.
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.
应用推荐