ID 原文 译文
56318 针对这个问题,本文提出了一个新颖的序列学习通用的语义特征提取模型:交互门控循环单元(interactive gated recurrent unit, InterGRU),可以让输入与隐含状态向量在各时间步间进行多轮充分的交互. In this paper, we propose a novel deep learning method called interactive gated recurrent unit (InterGRU) tosolve this problem, which allows full interaction between the input and the hidden state at various time steps.
56319 并且,在到达时间估计(estimated time of arrival, ETA)这个有代表性、有挑战的时空序列预测任务上,本文提出了一套基于交互门控循环单元的深度学习框架(InterGRU-ETA). Furthermore, we propose a deep learning framework, InterGRU-ETA, based on InterGRU for the estimated timeof arrival (ETA) which is a representative and challenging time series forecasting task.
56320 本文在来自滴滴出行平台真实场景下的海量数据集上充分地实验验证了InterGRU-ETA. Our framework has beenfully experimentally verified on the large-scale real-world datasets from the Didi Chuxing platform.
56321 结果表明,我们的框架在预测准确率上优于目前国际上最先进的方法. The resultson massive historical vehicle travel data show that InterGRU-ETA is superior to other state-of-the-art algorithms.
56322 这反映了交互门控循环单元在捕获序列语义信息上的性能优势和广阔前景. This can reflect the advantages of InterGRU in capturing sequential semantic information.
56323 本文针对挠性航天器执行器故障问题,提出了一种基于最小特征值的自适应故障补偿方法. This paper develops an adaptive compensation scheme for flexible spacecraft under actuator faults.
56324 首先,针对由故障和挠性模态引起的系统不确定性进行参数化; System uncertainties caused by faults and flexible uncertainties are first parameterized.
56325 其次,为了解决由故障引起的控制增益矩阵的不确定性,构造了新的控制增益矩阵,并利用该矩阵的最小特征值设计标称控制信号; To deal with the un?certainty of the control gain matrix caused by faults, a new control gain matrix is constructed. By using theminimum eigenvalue of this new control gain matrix, a nominal control signal is designed.
56326 而后,设计自适应律对标称控制信号中的不确定参数进行估计,构成自适应控制信号,保证了系统稳定性和渐近跟踪性能; Then an adaptivecontrol signal is designed by estimating the uncertain parameters in the nominal control signal. The developedadaptive control signal guarantees system stability and asymptotic tracking properties.
56327 最后,仿真结果验证了本文提出的自适应控制方法的有效性. Simulation results aregiven to verify the effectiveness of the proposed adaptive compensation scheme.