2篇
您的检索式：作者名="Lihang Feng"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A Target Grabbing Strategy for Telerobot Based on Improved Stiffness Display Device显示文摘Most target grabbing problems have been dealt with by computer vision system, however, computer vision method is not always enough when it comes to the precision contact grabbing problems during the teleoperation process, and need to be combined with the stiffness display to provide more effective information to the operator on the remote side. Therefore, in this paper a more portable stiffness display device with a small volume and extended function is developed based on our previous work. A new static load calibration of the improved stiffness display device is performed to detect its accuracy, and the relationship between the stiffness and the position is given. An effective target grabbing strategy is presented to help operator on the remote side to judge and control and the target is classified by multi-class SVM(supporter vector machine). The teleoperation system is established to test and verify the feasibility. A special experiment is designed and the results demonstrate that the improved stiffness display device could greatly help operator on the remote side control the telerobot to grab target and the target grabbing strategy is effective. | Pengwen Xiong Xiaodong Zhu Aiguo Song Lingyan Hu Xiaoping P.Liu Lihang Feng | 2017 | IEEE/CAA Journal of Automatica Sinica2017，4，4： | 2 |
| 2 | Estimation of pollutant sources in multi-zone buildings through different deconvolution algorithms显示文摘Effective identification of pollution sources is particularly important for indoor air quality.Accurate estimation of source strength is the basis for source effective identification.This paper proposes an optimization method for the deconvolution process in the source strength inverse calculation.In the scheme,the concept of time resolution was defined,and combined with different filtering positions and filtering algorithms.The measures to reduce effects of measurement noise were quantitatively analyzed.Additionally,the performances of nine deconvolution inverse algorithms under experimental and simulated conditions were evaluated and scored.The hybrid algorithms were proposed and compared with single algorithms including Tikhonov regularization and iterative methods.Results showed that for the filtering position and algorithm,Butterworth filtering performed better,and different filtering positions had little effect on the inverse calculation.For the calculation time step,the optimal Tr(time resolution)was 0.667%and 1.33%in the simulation and experiment,respectively.The hybrid algorithms were found to not perform better than the single algorithms,and the SART(simultaneous algebraic reconstruction technique)algorithm from CAT(computer assisted tomography)yielded better performances in the accuracy and stability of source strength identification.The relative errors of the inverse calculation for source strength were typically below 25%using the optimization scheme. | Mo Li Fei Li Yuanqi Jing Kai Zhang Hao Cai Lufang Chen Xian Zhang Lihang Feng | 2022 | Building Simulation2022，15，5： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员