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。
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。
When the researchers compared the model's predictive powers with a model based on age alone, they found that it was about 1000 times more accurate in gauging success in the second round of IVF.
他们发现，当预测第二轮体外受精的成功率时，与仅根据年龄预测相比，他们（的模型）的准确率要高1000倍。
Objectives: to develop a predictive model for pulmonary embolism based on clinical symptoms, signs, and the interpretation of the electrocardiogram.
目的：在临床症状、影像和心电图表现的基础上开发一个肺栓塞的预测模型。
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。
The main results are: (1) For a dual-rate sampled system, the design methods of predictive controller based on state-space model and input-output model are given respectively.
论文的主要结果有(1)对双速率采样系统，分别给出了基于状态空间模型和输入输出模型下的预测控制器的设计方法。
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。
Based on the analysis and the deterministic characterization of chaotic signals, we propose a interference method by constructing a nonlinear predictive model.
基于对混沌信号分析方法的研究，利用混沌序列固有的确定性，我们提出了一种预测干扰的方法。
The working thought of predictive maintenance is draw out and the evaluating work-model of the transformer states is proposed based on monitoring and diagnosing center.
绘出了基于状态监控与诊断中心的状态检修工作思路，给出了基于状态监控与诊断中心的变压器状态评估工作模型。
Through analyzing significance of product customer satisfaction and its study status, a kind of product customer satisfaction predictive model was built based on least square algorithm.
在简要分析产品满意度对企业的重要性和国内外相关研究的基础上，通过引入最小二乘算法，建立了一种产品满意度预测模型。
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。
Local dynamic linearization is applied to the system at each sampling point. Then control action is gained using generalized predictive control (GPC) based on the linearized model.
然后在每一个采样点对系统进行局部动态线性化，根据得到的系统线性化模型对系统采取广义预测控制（GPC）方法得到当前的控制动作。
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。
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。
Based upon the operation actuality of acetylene hydrogenation reactor, the paper set up a control strategy, which is composed of general PID control and predictive control based on mechanism model.
针对当前乙炔加氢反应器操作现状，提出了常规复杂控制与基于机理模型的预测控制技术相结合的复合控制策略，旨在改善当前成效低的简单开环调节。
This paper mainly focuses on ping-ponging and tri-side-handoff problems which are common in handoff between wireless networks, putting forward an adapted algorithm based on predictive feedback model.
针对无线网络间切换普遍存在的乒乓运动和三方切换问题，提出一种新的基于反馈预测模型的自适应切换算法。
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。
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 main focuses of this thesis are model simulation, coupling analyses, decoupling PID controller design and multivariable predictive controller design based on wastewater treatment Benchmark.
本文的主要工作是模型仿真、系统的耦合性分析、多变量pid解耦控制器设计及多变量预测控制器设计。
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。
From the method of predictive linear program based on the method GM (1, 1), we build the center approach grey GM (1, 1) model. Thus we improve the grey predictive linear program.
根据基于GM(1,1)模型的预测型线性规划思想方法，建立了中心逼近式GM(1,1)模型，从而给出对灰色预测型线性规划的改进。
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 predictive model of flow rate for pumping stations based on the neuron network theory and an optimal operation model of pumping stations based on the hereditary algorithm were proposed.
利用改进的神经元网络构建了泵站流量以及效率预测模型，并利用改进的遗传算法构建了泵站优化模型。
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。
It is presented in this paper a multivariable generalized predictive adaptive controller based on CARMA model and its application in the orbit control of spacecraft.
本文导出了基于对象CARMA模型的多变量广义预测自适应控制器，并将这种新的控制方法应用于航天器轨道控制中。
Considering the character of vector observation, a real time predictive filter based on minimum model error (MME) criterion is presented for satellite attitude estimation.
结合矢量观测的特点，基于最小模型误差准则给出了一种确定卫星姿态的实时估计算法，称为预测滤波算法。
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。
Predictive filtering based on minimum model error is introduced to realize real time identification of unknown perturbations and conquer influence of model error.
引入基于模型误差最小准则的预测滤波算法，实现对未知扰动的实时辨识与估计，克服模型误差影响。
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。
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。
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