研究了虚拟人的行走模型和基于逆运动学的运动控制方法。
Basic locomotion models of walking for virtual humans and their inverse kinematics-based control methods are studied in this paper.
在基本的自由随机行走模型的基础上，通过合理假设简化扰动问题，提出了可解析求解的理论模型。
Based on the fundamental model of random walk, a reasonable simplification of response model and solvable theoretical model were proposed.
这种四足的机器人模型有着卓越的平衡感，可以攀登陡峭的斜坡，甚至可在冰雪路面上行走。
The four-legged modules have an extraordinary sense of balance, can climb steep grades and even move on icy surfaces.
这些科学家们利用数学模型显示，即使在平地上行走，人们为了保持平衡也是采用两边来回行走来达到。
Using mathematical modeling, the scientists showed that even walking on level ground people stabilize themselves by controlling where they place their feet side-to-side.
利用车辆运动学模型，应用最优控制理论，对拖拉机自动引导行走方法进行了研究。
An automatic guidance method for tractor was developed based on a vehicle kinematical model and the optimal control theory.
通过改进的DLA模型，重复出颗粒随机行走和粘附的动力学过程。
The DLA model is improved to simulate the process of stochastic walking and adherence of nano-particles under periodic vibrations.
所提出数学模型是管道机器人三通自主行走控制策略设计和相应结构设计的理论基础。
The mathematical model is the academic groundwork of autonomous navigation strategy design and relevant structure design of pipeline robot in T-joint.
利用隐马尔克夫模型与支持向量机相结合，对站立和行走过程中的下肢表面肌电信号进行分类，用来控制多功能假肢。
Classifying myoelectric signals using hidden Markov model and support vector machine to process myoelectric signals, with the task of discrimination five classes of multifunction prosthesis movement.
所提出数学模型是管道机器人弯道自主行走控制策略设计和相应结构设计的理论基础。
The mathematic model is a groundwork of autonomous navigation strategy design and relevant structure design of pipeline robot in elbow.
针对液压阀控马达模型建立困难而又不准确，路面凸凹不平造成冲击载荷时变等问题，设计了模糊控制器对行走马达的速度进行闭环控制。
As to the difficulty in constructing a model and variable impact because of uneven ground, a fuzzy controller is made to control the velocity of the hydraulic motor.
为了合理地预测湿软地上履带行走装置的推进力，对履带板的推力计算模型进行了修正。
In order to reasonably predicate the pull of track driving device on wet and soft terrain, the pull model of track shoes is revised.
在该系统里，通过对机器人的行走装置进行模型化，建立了对象的模糊知识库，并根据自适应模糊控制的目标设计了推理机。
In the system the fuzzy knowledge bases of the object are established by modelling walking device of the robot, and the reasoning engine is designed according to fuzzy-control aim.
该文基于患者行走过程的运动学和动力学特性，建立三维非线性有限元模型，研究动态载荷对界面压力的影响。
Based on the analysis of kinematic and dynamic properties during walking, a 3-d nonlinear finite element model was developed to analyze the effect of dynamic loads on the interface stress.
模拟中采用五选择简单立方格子上的自回避行走和最近邻相互作用模型；
Five-selection simple cubic lattice, self-avoiding walk, and nearest interaction model were used to construct the homopolymer adsorption model on the solid-liquid interface.
该模型通过数据仓库获取销售历史数据，利用BP网络进行走势预测。
The sale historic data were obtained from data warehouse and the sale trend was forecasted with BP network.
介绍了直进轮式微型管道机器人行走机构的设计。提出了管道内受限微机器人的动力学模型，并分析了微型管道机器人的动力学稳定性。
This paper introduces the wheel mechanism design of in-pipe micro-robot, proposes the dynamical model of restricted in-pipe micro-robot, and analyzes its dynamical stability.
接着，以多体系统动力学理论为基础，建立了连续采煤机履带行走装置的虚拟样机模型，在建立模型过程中，最为复杂的可谓施加接触力。
Then, the virtual prototype of crawler running device is established based on multi-body system dynamics theory. The most complex part is to exert contact force in the model building process.
ADAMS中建立两足步行机器人并联机构腿的可参数化仿真模型，并在仿真环境下对步行机器人的行走姿态进行了规划和仿真试验，得出试验结果。
ADAMS, we build parameterized simulation model of biped walking robot, proceed gait planning and simulation experiments in the simulation surrounding, and get some experiment results.
我们构建了一个简单的模型研究大量粒子在具有有限节点容量的复杂网络中同时沿最短路径行走时的拥塞动力学过程。
We constructed a simple model to study the congestion dynamic triggered by multiple particles walking along the shortest path on complex networks which composed of nodes that have a finite capacity.
基于理论模型的研究结果，本文研制出含关节柔性的三维动态行走机器人。
The simulation results suggest that the importance of human body structure in dynamic bipedal walking.
基于理论模型的研究结果，本文研制出含关节柔性的三维动态行走机器人。
The simulation results suggest that the importance of human body structure in dynamic bipedal walking.
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