| ID | 原文 | 译文 |
| 49427 | 本文综述了图像场景语义分类的研究进展， | This paper reviews the research progress of scene image semantic classification, |
| 49428 | 并分析了场景分类算法的性能，指出场景语义分类研究中存在的问题。 | and analyze the performance of scene classification algorithm, points out existing problems in the research of semantic classification scene. |
| 49429 | 针对具有非线性不确定性、不可测动态不确定性和参数不确定性的非线性系统，结合反演提出了自抗扰控制器。 | With nonlinear uncertainties and unpredictable dynamic uncertainties and parameter uncertainty of nonlinear system, combined with inversion (adrc) is proposed. |
| 49430 | 与现有的鲁棒自适应控制方法不同，该方法不区别不确定性的类别，构建了扩展状态观测器来处理总不确定性; | Robust adaptive control with the existing methods, this method is not the difference between the uncertainty of category, extended state observer is constructed to deal with the uncertainty; |
| 49431 | 同时为了避免传统反演设计过程中的计算复杂性，构建了微分器; | At the same time in order to avoid the traditional inversion computation complexity in the process of design, build the differentiator; |
| 49432 | 此外，引入了动态信号来主导不可测动态不确定性。 | In addition, the dynamic signal is introduced to dominate the unpredictable dynamic uncertainty. |
| 49433 | 最后利用李雅普诺夫稳定性分析证明了设计的控制器可以保证系统输出收敛到参考信号的残集内。 | Finally by using lyapunov stability analysis proved that the designed controller can guarantee the system output converges to the reference signal of residual set. |
| 49434 | 仿真结果验证了该算法的有效性。 | The simulation results verify the effectiveness of the algorithm. |
| 49435 | 针对通信约束在不确定环境下对多无人机协同区域搜索问题的影响，提出了一种基于预测控制思想的多无人机协同区域搜索算法， | For communication constraints in the uncertain environment of multiple unmanned aerial vehicle (uav) cooperative area search problem, put forward a kind of based on predictive control of unmanned aerial vehicle (uav) cooperative area search algorithm, |
| 49436 | 研究各种通信约束对多无人机协同区域搜索效能的影响。 | research of various communication constraints on the influence of multiple unmanned aerial vehicle (uav) cooperative area search efficiency. |