ID 原文 译文
11624 结合参数依赖的多李雅普诺夫函数和平均驻留时间方法,给出了保证切换LPV系统指数稳定的充分条件。 ‭Combination of parameters depend on multiple lyapunov function method and the average resident time, give the sufficient conditions of exponential stability guarantee switching LPV system.
11625 由于考虑了时变参数的渐变特性,使得系统的切换律没有平均驻留时间的限制,降低了结论的保守性。 ‭Due to considering the creep characteristics of time-varying parameters, makes the system switching law without the restrictions of the average resident time, reduce the conservatism of the conclusion.
11626 仿真结果表明,运用所设计的控制器,当翼展连续变化时,变体飞行器状态稳定且切换过程平滑,控制性能良好。 ‭The simulation results show that using the designed controller, when a wingspan of continuous change, variant aircraft is stable and smooth switching, and control performance is good. ‭
11627 基于非线性动力学模型,给出了单滑块变质心再入飞行器的平衡点及其稳定性随滑块偏移距离的变化规律,得到了系统分岔图,并在此基础上求解了典型条件下各吸引子的吸引域。 Based on the nonlinear dynamic model, presents a single slider degenerative heart reentry vehicle is in equilibrium and its stability is changing with the slide block migration distance, the bifurcation diagram, the system on the basis of solving the attractor of the typical conditions to attract the domain.
11628 结果表明滑块偏移距离对再入飞行器的平衡点数量及稳定性具有明显的影响,同时初始飞行条件对飞行器的最终收敛状态也具有重要的影响。 Results show that the slider offset distance of the balance quantity and stability of the reentry vehicle having a significant impact, at the same time, the initial flight conditions on the aircraft's ultimate convergence state also has an important influence.
11629 不合适的初始条件有可能导致飞行器被锁定在不期望的平衡点或极限环中,从而引起失速或失控等问题。 Not appropriate initial condition may lead to vehicle is locked in does not expect the balance or limit cycle, leading to stall or out of control and other issues.
11630 此外,通过分析不同系统参数下的分岔图变化规律,总结了再入飞行器结构及气动参数对系统分岔特性的影响,进而为系统参数的设计提供了参考。 In addition, through the analysis of the bifurcation diagram of under different system parameters change rule, summarizes the reentry vehicle structure and aerodynamic parameters on the bifurcation characteristics of the system, thus provides reference for the design of the system parameters.
11631 为了解决非刚体目标跟踪过程中由目标形状快速变化带来的困难,提出了利用SIFT特征联合匹配的非刚体目标跟踪算法。 In order to solve the rigid body in the process of target tracking by the target shape the difficulties brought about by the rapid change, puts forward the joint using the SIFT feature matching of non-rigid target tracking algorithm. ‭
11632 首先分别提取目标模板和当前搜索区域的SIFT特征点; First, respectively, to extract the target template and the current search area SIFT feature points;
11633 然后利用改进的联合匹配策略在目标模板和当前搜索区域之间进行特征匹配; Then use the improved joint matching strategy in the target template and feature matching between the current search area;