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.
该模型符合决策实际，且算例表明了模型算法简洁而有效。
The model accords with the fact of decision-making and the calculated case indicates that the model is concision and efficiency.
这是一个笔者撰写改进了别人的隐马尔可夫模型算法的程序。
This is a writer writing improvement of the people's hidden Markov model algorithm procedures.
并在文章中设计了模型算法模拟器，对其改进的效果进行了验证。
And at last, a simulator was designed to validate the improvements of the general model.
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.
提出一种基于传统DDCM模型的具有自适应能力的可形变模型算法。
An adaptive deformable model based on the conventional DDCM is proposed.
对前者建立了基于机理模型的动态模拟模型算法，给出了具体的求解方法。
This paper provides an arithmetic method based on rigorous model for dynamic simulation and solving methods for the former system.
试验结果表明锥函数插值模型算法是一类有效的直接方法，值得进一步研究。
The results show that conic interpolation model method is an efficient direct search method. This should be further researched.
根据集中参数线路模型算法的实测距离，换算成与模型匹配的正序测量阻抗。
The measured distance of the lump parameter circuit model can be converted to the correspondingly matching positive sequence measured impedance.
本文首先以国内外不同的视角概括了交通拥堵评价课题的理论和模型算法研究现状。
First of all, the paper summarize the present situation on theory research and model algorithm from home and abroad perspective.
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.
利用模糊神经元非模型算法和NPID控制算法设计了油温控制系统和油压控制系统。
The fuzzy neuron non-model algorithm and the NPID control algorithm are adopted to design the control systems for oil temperature and pressure.
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.
本文概述了网络设计问题，指出了网络设计问题数学模型算法研究的复杂性和重要意义。
The Paper has summarized Network Design Problems and has pointed out the complexity and importance of the study on algorithm for network design problems.
该算法克服了模糊交互多模型算法精度较低和当前统计模型自适应滤波器方差调整有限的缺点。
This algorithm overcomes the weakness of the FIMM with low estimation accuracy and the limitations of the adaptive filter based on the "current"statistical model.
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.
由于坐标测量机几何误差变化规律复杂，采用一般的BP神经网络模型算法，速度慢且难以收敛。
Owing to the complicated variable rule of CMMs geometry error, it's difficult to convergence for using common BP neural network model arithmetic with a slow velocity.
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).
给出了灰色-线性回归模型算法的基本思想和计算步骤，并举例说明如何用该模型解决实际问题。
The basic concepts and calculating steps of gray-linear regression calculation are put forward with some practical examples.
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。
The simulation model of air defense fire oppugning effect was based on simulation design theory, simulation control mechanism, model internal structure and model algorithm.
该算法可以有效地限制交互多模型算法滤波计算过程中的滤波发散的可能性，从而使得IMM算法更加稳定。
The new IMM algorithm has better stability, because it can effectively restrict the like probability of divergence that happens in the IMM filter algorithm.
针对机动目标跟踪中常见的量测转换问题，提出了一种基于球坐标系下最优线性无偏估计滤波的交互多模型算法。
Aiming at the problem of measurement conversion within the target tracking, a new algorithm combined best linear unbiased estimation with interacting multiple model methods is derived.
仿真结果较为理想，模型算法能够基本反应整流器系统主要电量的变化规律，满足变流控制装置的开发测试要求。
The experiment results show that the model basically reflects the main electrical regularity of the rectifier system and can satisfy the requirements on testing the hardware controller.
第3章研究和分析了基于小波的图像复原算法，包括小波域的阈值反卷积算法、迭代正则化算法和参数模型算法。
Chapter 3 studies and analyzes the wavelet-based image restoration algorithms, including threshold deconvolution algorithm, iterative regularization algorithm and parameter model algorithm.
近年来各国研究者对交互式多模型算法的研究重点主要集中于对模型、滤波算法以及数据融合技术等方面的改进。
In recent years, the research points of all researchers in countries mainly centralize on improvement of the model, filtering algorithm and data fusion technology aspects.
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.
提出了一种基于残差的自适应多模型算法，其基本思想是通过残差的大小来分配多模型中单个模型在整体估计中的权重。
An adaptive multiple model algorithm based on residual is presented, its basic idea is to assign the probability of each model in overall estimation through the size of residual.
提出了一种基于残差的自适应多模型算法，其基本思想是通过残差的大小来分配多模型中单个模型在整体估计中的权重。
An adaptive multiple model algorithm based on residual is presented, its basic idea is to assign the probability of each model in overall estimation through the size of residual.
应用推荐