Airfoil buffet boundary is an important aerodynamic parameter which is second only to the lift-drag ratio.
翼型抖振边界是仅次于升阻比的一项重要气动指标。
Finally, two examples of aerodynamic parameter estimation are illustrated which show the implementation of algorithm in detail.
最后结合飞行器的气动参数估计来说明算法的具体实现。
Output error method is one of the most widely applied methods in the region of aerodynamic parameter identification for aircraft.
输出误差法是飞行器气动参数辨识最广泛采用的一种方法。
The aerodynamic parameters wear estimated through online parameter identification method and were used for actuator deflect allocation.
使用在线参数辨识方法，对飞机的气动特性进行估计并用于舵面分配。
The implementation of maximum likelihood estimation method to the nonlinear continuous ?discrete systems and application to aerodynamic parameter identification for vehicle are studied.
研究了非线性连续—离散系统极大似然估计方法的实现及其在飞行器气动参数辨识中的应用问题。
Based measured aerodynamic parameter and simulated wind speed field, time-domain expression of static wind load, buffeting load and self-excited load for bridge and vehicle are introduced.
基于测试的气动参数和模拟的脉动风速场，给出了车辆和桥梁静风力、抖振力及自激力的时域表达式。
To solve this question and assure the analysis precision, this article USES the analytic method combines the limited difference method, to gain the sensitivity of the aerodynamic parameter.
为解决这个问题并保证灵敏度分析精度，本文提出用解析法与有限差分法法有机结合的方法对气动参数进行灵敏度分析。
The equations of continuity and quasi irrotationality are transformed into the potential stream function coordinates. Then a Laplace equation can be deduced for an aerodynamic parameter "q".
将改写后的无旋条件与连续方程联立求解，可在计算面上将叶型设计问题用标准拉普拉斯方程来表示。
In this paper, the aerodynamic parameter identification of elastic aircraft is studied by the maximum likelihood estimation algorithm using, orthogonal test table for computing sensitivities.
本文基于正交计算灵敏度的极大似然估计算法研究了弹性飞行器的气动参数辨识问题。
The aerodynamic model and the limited parameter model are all realized for airplane entity in CGF system at the dynamic nodes, and the AI technology is applied for the tactic decision.
动力学节点计算机生成兵力（CGF）系统中建立了实体的气动全量模型及极限参数模型，采用AI技术进行战术决策。
The aerodynamic model and the limited parameter model are all realized for airplane entity in CGF system at the dynamic nodes, and the AI technology is applied for the tactic decision.
动力学节点计算机生成兵力（CGF）系统中建立了实体的气动全量模型及极限参数模型，采用AI技术进行战术决策。
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