ID 原文 译文
10574 再利用等效信道参数估计模型,获得信道统计量后进行正交频分复用解调,实现非一致多普勒补偿。 Using the equivalent channel parameters estimation model, after gaining channel statistics for orthogonal frequency division multiplexing demodulation, realize the non-uniform doppler compensation.
10575 仿真结果表明,所提方法在信道信息已知与未知的条件下,都具有较高的补偿性能,特别是在非一致多普勒扩展比较严重的情况下,其优势更加明显。 The simulation results show that the proposed method under the condition of the channel information is known and unknown, have higher compensation performance, especially in the non-uniform doppler extension serious cases, the advantage is more obvious.
10576 针对飞机飞行中单侧机翼突然损伤问题,结合对损伤飞机的特性分析,提出基于神经网络自适应补偿的鲁棒非线性模型逆控制方法。 Aiming at single wing in flight sudden injury problems, combining with the analysis of damage characteristics of the aircraft, based on the robust nonlinear model of neural network adaptive compensation inverse control method.
10577 利用未损伤飞机模型伪控制量中的单隐层神经网络自适应项和鲁棒项,并联合e-modification自适应律对模型误差、外界扰动、神经网络近似误差进行补偿。 ‭Use did not damage the aircraft model pseudo control quantity of single hidden layer neural network adaptive and robust, and an adaptive law is joint e - modification of model error and external disturbance, neural network approximation error to compensate.
10578 除此之外,利用动态非线性阻尼技术对上述伪控制律进行扩展,从而适应损伤机体未建模舵动态。 ‭In addition, the dynamic nonlinear damping technology extensions to the pseudo control law, so as to adapt to the damage the body unmodeled dynamic rudder.
10579 最后对上述算法进行严格的稳定性证明,并推导了逆过程的实现方法。 ‭Finally the stability of the algorithm is strictly proved, and the implementation of the inverse method was deduced.
10580 仿真结果表明在单侧机翼突然损伤并伴随外部扰动和未建模舵动态下,该控制方法具有较强的稳定性和鲁棒性。 ‭Simulation results show that the single wing suddenly injury associated with external disturbances and unmodeled dynamic under the rudder, the control method has strong stability and robustness. ‭
10581 为了减小离散灰色预测模型解的扰动界,增加模型的解的稳定性,并且充分利用系统的新信息,提出了分数阶反向累加离散灰色模型。 In order to reduce the perturbation bounds of discrete grey forecasting model, increase the stability of the solution of the model, and make full use of the system of new information, fractional reverse accumulative discrete grey model is put forward.
10582 通过数学推导,给出了模型具体的计算公式,并计算了其扰动界。 Through mathematical deduction, give the calculation formula of the specific model, and calculated the perturbation bounds.
10583 通过比较一阶反向累加离散灰色模型和分数阶反向累加离散灰色模型扰动界的大小,证明了分数阶反向累加离散灰色模型的优越性。 By comparing the first-order reverse accumulative discrete grey model and fractional order cumulative discrete grey model, the size of the perturbation bounds to prove the superiority of the fractional order reverse accumulative discrete grey model.