ID 原文 译文
7334 通过比较现有的18种IFS的相似度函数,分析了其与相似度定义的匹配程度。 By comparing the existing 18 kinds of IFS similarity function, analyses the definition and similarity matching degree.
7335 其次,分析了IFS相似度部分性质应用的局限性,依据记分函数来比较直觉模糊数的大小,进而重新定义了IFS的相似度性质。 Secondly, analysis the application limitation, some properties of the IFS similarity based on the score function to compare the size of the intuitionistic fuzzy Numbers, then redefine the similarity characteristics of the IFS.
7336 再次,针对重新定义的相似度性质,设计了一种新的IFS相似度度量模型。 Again, be aimed at redefining the similarity of nature, we design a new IFS similarity measurement model.
7337 最后,通过算例分析和灵敏度分析验证本文方法的有效性和对决策结果的区分度。 Finally, through case analysis and sensitivity analysis verify the effectiveness of the method and the degree of differentiation of the result of the decision.
7338 针对带有非最小相位特性的吸气式高超声速飞行器控制问题,提出了一种输出跟踪控制方法。 With non-minimum phase characteristic of air-breathing hypersonic flight control problem, a kind of output tracking control method is proposed.
7339 对于不具有非最小相位特性的速度子系统,运用动态逆控制技术设计了状态反馈控制器; For non-minimum phase characteristics subsystems, the speed of the state feedback controller was designed using dynamic inversion control technology;
7340 针对具有非最小相位特性的高度子系统,首先选取合理的内外动态变量,通过坐标变换,将纵向俯仰通道模型转换为正则形式。 Aimed at the height of the non-minimum phase characteristics subsystem, select reasonable internal and external dynamic variables, first through coordinate transformation, the longitudinal pitch channel model into canonical form.
7341 然后通过对内动态进行稳定性分析,提出了飞行器系统非最小相位特性的判定定理。 And then through the internal dynamic stability analysis, and put forward the non-minimum phase characteristics of aircraft system decision theorem.
7342 最后通过在动态逆控制器中加入正则变换后的状态反馈,实现了内动态的镇定,并基于Lyapunov方程证明了系统稳定性。 Finally through after join the canonical transformation in dynamic inversion controller of state feedback, has realized the dynamic stabilization, and based on the Lyapunov equation proves that the system stability.
7343 仿真结果表明,该方法实现了良好的跟踪控制效果,并有效地镇定了系统的内动态。 The simulation results show that this method is the good tracking performance, and effectively dynamic stabilization of the system.