提出了一种基于预测偏差的模型算法控制方法。
The paper proposed a Predicted-Error-Based Model Algorithm Control (PEBMAC) method.
本文将模糊模型算法控制应用于永磁同步电动机位置伺服系统中。
This paper presents a novel and predictive fuzzy model algorithmic control(MAC) scheme which is an integration of fuzzy control and predictive control.
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.
这样将能得到被控对象更准确的数学模型，有望改进自适应模型算法控制的控制效果。
So it is possible that more accurate model of controlled object and better effect of adaptive model algorithmic control are obtained if the length of impulse response sequence changes accordingly.
针对纯时延和有约束的情况，应用目标规划作为优化策略，提出了一种增量型模型算法控制策略。
For the situation with dead time and constraints, a control strategy of increment model algorithm was developed using goal programming as optimal strategy.
理论分析及计算机仿真研究表明，IMAC比模型算法控制(MAC)具有更好的动态调节特性。
The study of theory analysis and computer simulation shows that dynamics adjust characteristic of IMAC is better than that of MAC (Model Algorithmic Control).
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.
由各种情况的闭环输出曲线和控制量变化曲线分析比较可知，模型算法控制应用与半主动控制系统有着良好的控制性能。
Many simulation curves are given after analyzing those curves we can draw a conclusion that Model algorithm control algorithm can improve the control property of system greatly.
机器人动力学是复杂的动力学系统，对处理物体的动态响应取决于机器人动力学模型和控制算法。
Robot dynamics is a complex dynamic system, on the dynamic response of the processing object depending on the robot dynamics model and control algorithm.
最后的示例表明了层次模型与控制算法的有效性。
Finally, an example is given to show the availability of the model and control algorithm.
文中论述了系统组成、控制原理、数学模型、算法软件等。
The system structure, control principle, mathematical model, algorithm software are discussed.
汽车模型用来研究力跟踪PI控制算法和MR阻尼器对车辆的振动抑制性能。
The vehicle models are analyzed to study the vibration attenuation performance of the MR-damper using the semi-active force tracking PI control algorithm.
设计了一基于模型的计算力矩控制算法，并深入探讨了其应用于三种不同轨迹规划方法下的控制性能。
A model based control scheme employing computed-torque control has been presented, and its applications in three different path planning methods have also been discussed.
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.
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。
The application of the control algorithm based on modifying factor fuzzy model to a diesel engine is introduced.
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。
For the fact given above, a digital internal model control (DIMC) algorithm based on discrete model is developed.
然后在此模型基础上对控制算法进行研究。
依据小波的非线性逼近能力和神经网络的自学习特性，提出了一种基于小波神经网络模型的自校正控制算法。
Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.
在仿真试验中用动态神经网络所得到的控制算法对模型的输出进行跟踪控制，从仿真结果图可以看出这种控制器能获得较好的控制效果。
Control parameter gotten by dynamic neural network is used to control the model's output in simulation. The result concludes that the controller can get better control result.
将设计好的制导控制算法嵌入六自由度弹道模型中进行验证，仿真结果表明了此快速仿真架构的正确性和制导、控制方案的可行性。
The GNC algorithms designed are embedded in the trajectory model. The results show that the simulation structure is valid and the GNC schemes are feasible.
针对多模型方法中子模型数量过多的问题，提出一种基于模型集在线优化方案的多模型自适应控制算法，并对其实时性进行讨论。
Focus on the question of many sub models in traditional SMM, a SMM adaptive control based on online optimization method of model set is proposed.
针对非线性的电液伺服系统，提出一种利用基于输入等价干扰的通用模型控制算法(ICMC)来设计控制器新策略。
A new scheme of using common model control based on input equivalent disturbance (ICMC) to design controller was presented for nonlinear electro-hydraulic servo control systems.
通过运用PSO算法对PID控制器参数进行在线调整，使模型参考自适应控制达到理想的控制效果。
Using the PSO algorithm to optimize the on-line PID controller's parameters, desirable control effect is obtained.
给出了非线性系统多模型自适应控制算法的优化模型集建立方法，解决了多模型自适应控制模型多、计算量大的问题。
By using PWL method an optimal model set of nonlinear system multiple model adaptive control algorithm is given, which reduces the heavy computation burden in multiple model adaptive control.
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。
Based on designing analytical fuzzy controller, fuzzy-neuron model-free control algorithm is studied by using single neuron and the thought of intelligent integral.
所讨论的问题包括系统结构、控制器库、模型库和控制算法设计。
The problems discussed include the system structure, the design of controller bank, model bank and 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。
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。
On the basis of the improved optimization flow control model and link price algorithm, presented an optimization flow control model-based congestion control algorithm.
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