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.
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。
This paper presents cascade Model Algorithmic control based on impulse response representation of the process. Some Properties of the control algorithm are given.
本文提出基于对象的脉冲响应的串级模拟算法控制，给出算法的若干性质。
On the basis of the improved optimization flow control model and link price algorithm, presented an optimization flow control model-based congestion control algorithm.
在已改进的最优化流控模型和链路价格算法的基础上，提出了一种基于最优化流控模型的拥塞控制算法。
The simulation model of air defense fire oppugning effect was based on simulation design theory, simulation control mechanism, model internal structure and model algorithm.
从仿真设计原理、仿真控制机制、模型内部结构和模型算法三方面研究防空火力抗击效果的仿真模型。
Based on the mathematical model, the dynamic process of character control is described, and the detailed steps of algorithm are given.
在建立的数学模型基础上，对特征控制的动态过程进行描述，并给出算法的详尽步骤。
This paper discusses the design of model reference adaptive control systems based on the direct output error adaptive control algorithm.
本文利用输出误差直接自适应控制算法对一具体对象的模型参考自适应控制器进行设计。
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。
Based on the model the control algorithm was researched.
然后在此模型基础上对控制算法进行研究。
In order to determine the model matching index of switching control, a multiple models switching control algorithm based on effective model matching was presented.
针对切换控制中模型匹配准则的确定问题，提出了一种基于模型有效匹配的多模型切换控制算法。
Considering the uncertainty of network model and time variability of network parameters, a fuzzy control active queue management algorithm based on input rate and queue variance is proposed.
针对网络模型的不确定性和参数的时变性，该文提出了一种基于输入速率和队列长度变化的模糊控制主动队列管理算法。
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。
A model switching algorithm based on multi-model adaptive control is presented to solve the problem of poor transient response in the adaptive control of nonlinear time-varying system.
针对非线性时变系统在自适应控制过程中瞬态响应差的问题，提出了一种基于多模型自适应控制的模型切换算法。
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 application of the control algorithm based on modifying factor fuzzy model to a diesel engine is introduced.
介绍了基于修正因子模糊数模型的模糊控制算法在柴油机调速技术上的应用。
For the fact given above, a digital internal model control (DIMC) algorithm based on discrete model is developed.
该文针对这种情况，提出一种基于离散对象模型的数字内模控制(DIMC)算法。
A dynamic neural fuzzy model (DNFM) based adaptive control algorithm for ship course control was developed to overcome uncertainties arising from changes of model parameters.
针对船舶航向控制中模型参数变化引起的不确定性问题，提出一种基于动态神经模糊模型(DNFM)的自适应控制算法。
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。
Based on designing analytical fuzzy controller, fuzzy-neuron model-free control algorithm is studied by using single neuron and the thought of intelligent integral.
设计了解析模糊控制器，并在此基础上引入了单神经元；根据智能积分的思想，研究了模糊神经元非模型控制算法。
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。
To avoid rollover accidents of automobiles, a model-based algorithm for rollover warning and a control strategy for rollover prevention were proposed.
为了减少汽车侧翻事故，提出了一种基于模型的汽车侧翻预警算法以及在预警基础上的防侧翻控制算法。
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 paper proposed a Predicted-Error-Based Model Algorithm Control (PEBMAC) method.
提出了一种基于预测偏差的模型算法控制方法。
The control algorithm based on the model is simple, adaptive and useful in nonlinear and time delay field.
基于修正模型推导出的控制算法，简单，具有在线自适应性，适于解决非线性时滞问题。
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 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 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。
Abstract: An adaptive formation control algorithm was proposed for multiple autonomous underwater vehicle systems (MAUVS) based on the coupled phase oscillators model.
摘要：针对多水下机器人编队问题，提出一种基于相位耦合振子模型的自适应控制算法。
This paper introduced the principle of direct torque control and the algorithm of simulation. The simulation model of permanent magnet ac servo system is designed and studied based on MATLAB/SIMULINK.
本文介绍了直接转矩控制原理和仿真算法， 并在MATLAB／SIMULINK下设计永磁交流伺服系统的仿真模型，进行仿真研究。
Based on PRAMcomputing model, the parallel processing for adaptive control algorithm based on fuzzy internal model, which aimed at nonlinear system, is discussed.
针对非线性系统，在PRAM计算模型上，探讨基于模糊内模自适应控制算法的并行处理。
Based on PRAMcomputing model, the parallel processing for adaptive control algorithm based on fuzzy internal model, which aimed at nonlinear system, is discussed.
针对非线性系统，在PRAM计算模型上，探讨基于模糊内模自适应控制算法的并行处理。
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