机构

• 金属研究所 [1]
• 长春光学精密机械与物... [1]
• 数学与系统科学研究院 [1]
• 自动化研究所 [1]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [4]
• 会议论文 [1]

发表日期

• 2023 [1]
• 2021 [1]
• 2018 [2]
• 2008 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 An Improved Strategy for Active Visual Odometry Based on Robust Adaptive Unscented Kalman Filter 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 页码: 10 作者:  Yuwen, Xuan;  Chen, Lu;  Chen, Long;  Zhang, Hui   |  收藏  |  浏览/下载：19/0  |  提交时间：2023/12/21 Active simultaneous localization and mapping (SLAM)  outlier detection and correction  robust adaptive unscented Kalman filter (RAUKF)  visual odometry (VO)   Distributed Design of Robust Kalman Filters Over Corrupted Channels 期刊论文  OAI收割 IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2021, 卷号: 69, 页码: 2422-2434 作者:  He, Xingkang;  Johansson, Karl Henrik;  Fang, Haitao   |  收藏  |  浏览/下载：35/0  |  提交时间：2021/10/26 Kalman filters  Noise measurement  Temperature measurement  Uncertainty  Temperature sensors  Symmetric matrices  Pollution measurement  Sensor network  distributed filtering  robust Kalman filter  corrupted channel   A multi-mode real-time terrain parameter estimation method for wheeled motion control of mobile robots 期刊论文  OAI收割 MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 卷号: 104, 页码: 758-775 作者:  Li, Yuankai;  Ding, Liang;  Zheng, Zhizhong   |  收藏  |  浏览/下载：22/0  |  提交时间：2021/02/02 Terrain parameters  Real-time estimation  Multi-mode  recursive Gauss-Newton method  adaptive robust extended Kalman filter   A multi-mode real-time terrain parameter estimation method for wheeled motion control of mobile robots 期刊论文  OAI收割 Mechanical Systems and Signal Processing, 2018, 卷号: 104, 页码: 758-775 作者:  Liu GJ(刘光军);  Li YK(李元凯);  Zheng, Zhizhong;  Ding, Liang;  Yang, Qizhi   |  收藏  |  浏览/下载：59/0  |  提交时间：2018/01/06 Terrain parameters  Real-time estimation  Multi-mode  recursive Gauss-Newton method  adaptive robust extended Kalman filter   Dynamics simulation on control technology for 4WS vehicle steering performance (EI CONFERENCE) 会议论文  OAI收割 ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2008, August 3, 2008 - August 4, 2008, Guangzhou, China Rong-Hui Z.; Hong-Guang J.; Tao C. 收藏  |  浏览/下载：28/0  |  提交时间：2013/03/25 By combining visual preview kinematics  dynamic equation of steering system and 2-DOF steering dynamistic model of 4WS  it can easily attenuate the change and uncertainty of model. 2008 IEEE.  we establish the two degree of freedom model of four-wheel steering vehicle. And then the switching hyper plane is designed by applying the optimal control theory. During the change of parameter is little  4WS steering performance is carried out by adopting sliding variable structure controller. To improve the steering performance of 4WS  especially state variables convergent velocity  Kalman filter for 4WS is designed. And the robust optimal controller is designed for model and parameter is uncertainty. The simulation results show that the controller designed by the proposed method has good robustness