提出了一种有效的微蜂窝电波传播预测模型，该模型基于射线跟踪法和UTD理论，并使用辐射源树的方法。
This paper presents an effective radio wave propagation prediction model by using radiation sources tree for microcellular environment. This model is based on ray-tracing and UTD.
仿真研究表明，SVM具有优良的逆模型辨识能力，基于模糊控制补偿的支持向量机逆控制系统的动态性能好、跟踪精度高、鲁棒稳定性强。
Simulations demonstrate that SVM has good nonlinear approximation capability for inverse model, and the proposed control system has good dynamic and static performances as well as good robustness.
文章提出了一种基于肤色模型，结合椭圆环模板进行人脸跟踪及姿态估计的算法。
This paper presents an algorithm for facial tracking and pose estimation based on skin color model and elliptical template.
基于这种模型给出了流程CIMS的主要应用，包括原料计划、能源计划、生产调度、成本跟踪和质量控制。
Based on this model, some applications of process CIMS are presented, including resource planning, energy planning, production scheduling, cost tracing and quality controlling.
在此基础上，推导了基于当前统计模型的分散式纯方位跟踪算法并对纯方位机动目标实施跟踪。
On the base of it, a decentralized bearings-only tracking algorithm based on the current statistical model was deduced and used to track bearings-only maneuvering target.
针对目标跟踪中的目标机动问题提出了一种“基于自适应相互作用多模型”的算法。
In order to resolve the maneuvering problem in target tracking, an algorithm based on interacting multiple model (IMM) method was presented.
提出了一种基于T - S模糊模型和自适应神经网络的跟踪控制方法。
A robust adaptive tracking control method is presented based on the fuzzy T-S model.
提出一种基于混合肤色模型的实时人脸跟踪方法。
Th paper presents a new real-time face tracking method based on a mixed skin-color model.
本文在参照了镜像法、射线管法等射线跟踪思想的基础上，提出了一种有效的基于虚拟源树的射线跟踪模型。
Based on Image Theory and tube-tree method, an applicable ray tracing method based on virtual source tree was presented in this paper.
最后提出了基于自动机模型的多态运动目标的智能跟踪策略。
Finally, an intelligent tracking strategy to multi-state moving targets, which is based on an automatic machine model, is put forward.
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.
针对这一问题，提出了一种基于GM （1， 1）模型的跟踪卡尔曼滤波方法。
The paper provides a new algorithm by introducing GM (1, 1) into Kalman filter .
因此，同时考虑机器人运动学和动力学模型，提出基于神经网络的轨迹跟踪算法，仿真结果表明算法具有较强的鲁棒性。
So, we design a trajectory tracking algorithm based on NNs, considering both kinematic and dynamical model, and the simulation results demonstrate that this algorithm has good robustness.
在采用一个鲁棒性匹配误差映射函数的基础上，使用一种类牛顿法的迭代优化方法实现了基于仿射模型的图像目标跟踪算法。
With the use of a robust error mapping function, an affine model-based target tracking algorithm is formulated, in which a quasi-Newton's iterative method is implemented in the optimization progress.
在人脸跟踪领域，本文对比了当前几种主要的相似度匹配方法，采用了一种基于特征空间模型的人脸跟踪方法。
In the field of human face tracking, we contrast several main similarity methods nowadays, and adopt a method of human face tracking based on feature space model.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统两种模糊逻辑方式结合起来，提出了一种基于观测器的跟踪控制方案。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an observer-based tracking control scheme for a class of nonlinear systems.
建立了基于代价函数的传感器分配优化模型，其中代价函数包括跟踪系统偏差代价和资源消耗代价两部分。
The optimal sensor allocation model based cost function is built, and the cost function includes the bias of tracking state and resource consumed.
针对射线跟踪技术在无线网络规划中实现的困难，提出了一种基于射线跟踪技术的室外传播模型。
An outdoor propagation model based on ray tracking technology is presented to improve the practicability of ray tracking propagation model in wireless network planning.
首先重点研究了批次管理的方法、批次关联、追踪bom模型，接着在此基础上提出了产品跟踪模型，并提出了基于时间的跟踪BOM生成算法。
First, we focus on the method of batch management, batch association, tracking BOM model, then propose the product tracking model and the algorithm that makes the tracking BOM based on time.
提出了一种基于射线跟踪方法的定位模型。
This paper presented a positioning model based on ray-tracing method.
在总结前人工作的基础上，本文提出了一种新的基于“虚拟源树”射线跟踪技术的微蜂窝小区的电波传播模型。
On this condition, the paper put forward a new electric wave transmition model in the microcell , which based on ray tracing method of Virtual Fountain Tree.
作者介绍了短波单站定位机理和两种实用的电离层模型，并对基于这两种电离层模型的射线反跟踪算法进行了分析比较。
This author introduces the principle of SSL and two kind of applied ionospheric models and compares and analyses the radial inverse tracking arithmetics based on the two kind of ionospheric models.
对各方程序卡尔曼滤波，通过T -SFIMMA算法进行基于T - S模糊模型的自适应卡尔曼滤波计算，实现系统模型的实时跟踪与自动转换。
Kalman filter of the kind of equations was calculated with T-SFIMMA algorithm based on adaptive Kalman filter algorithm of T-S fuzzy model, realize the tracking and automatic switchover of models.
分析了基于牵引操舵角的轮式拖车系统的运动跟踪特性，提出了两种满足牵引操舵角概念的机构模型。
The motion tracking characteristics of steering Angle based wheel trailer system were studied. Two mechanism models which satisfy the definition of the steering Angle were present.
在此基础上，对基于虚拟跟踪实现“水平散开”战术做了研究、分析，建立了水平散开时间的优化模型，并进行了战术仿真分析。
Based on which, the tactical-guiding of "horizontal dispersing" in virtual tracking was studied, and an optimal model for the time of horizontal dispersing was established.
基于混合误差模型，采用滤波器降阶的方法，设计了一种高阶系统跟踪低阶参考模型的混合模型参考自适应控制方案。
On the basis of hybrid error model and adopting diminution order method by filter, an adaptive control scheme of hybrid model has been designed for high order system following the low order model.
结果表明：基于本文提出的FACTS模型和控制参数下，采用路径跟踪内点方法求解含有FACTS的电力系统潮流优化控制问题，具有较好的性能。
It shows a good performance to solve the optimal power flow problem with FACTS control by non-linear interior point method under the model and parameters present in the thesis.
首先经过背景去除，把感兴趣的人体目标从图像中提取出来，然后采用基于模型的和非基于模型的两种方法对人体的局部和全身运动进行了跟踪。
Firstly, the human region is extracted from the image by the background subtraction, then model-based and none model-based method are applied to track human motion from body parts to whole body.
在对潮流跟踪技术进行深入研究的基础上，提出了一种基于比例分配原则的同时考虑基本潮流和网损的潮流跟踪模型。
Based on the thoroughly analysis of power flow tracing methods, a new method of allocating both power flow and losses is presented, which grounds on proportional sharing principle.
在对潮流跟踪技术进行深入研究的基础上，提出了一种基于比例分配原则的同时考虑基本潮流和网损的潮流跟踪模型。
Based on the thoroughly analysis of power flow tracing methods, a new method of allocating both power flow and losses is presented, which grounds on proportional sharing principle.
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