机构

• 数学与系统科学研究院 [4]
• 自动化研究所 [3]
• 长春光学精密机械与物... [1]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [9]

内容类型

• 期刊论文 [8]
• 会议论文 [1]

发表日期

• 2023 [1]
• 2022 [1]
• 2021 [2]
• 2020 [1]
• 2019 [1]
• 2018 [1]
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学科主题

筛选

浏览/检索结果: 共9条，第1-9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 Distributed Secure State Estimation of Multi-Agent Systems Under Homologous Sensor Attacks 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 67-77 作者:  Yukun Shi;  Youqing Wang;  Jianyong Tuo   |  收藏  |  浏览/下载：30/0  |  提交时间：2023/01/03 Consensus-based Luenberger-like observer  distributed secure state estimation  homologous signal   Distributed Filter With Biased Measurements: A Scalable Bias-Correction Approach 期刊论文  OAI收割 IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2022, 卷号: 8, 页码: 844-854 作者:  Zhang, Xiaocheng;  Xue, Wenchao;  He, Xingkang;  Fang, Haitao   |  收藏  |  浏览/下载：27/0  |  提交时间：2023/02/07 State estimation  Kalman filters  Estimation  Symmetric matrices  Robot sensing systems  Scalability  Observability  Sensor network  measurement bias  bias estimator  distributed filter   Stability of the distributed Kalman filter using general random coefficients 期刊论文  OAI收割 SCIENCE CHINA-INFORMATION SCIENCES, 2021, 卷号: 64, 期号: 7, 页码: 14 作者:  Gan, Die;  Xie, Siyu;  Liu, Zhixin   |  收藏  |  浏览/下载：33/0  |  提交时间：2021/10/26 distributed Kalman filter  collective random observability  L-p-stable  L-p-exponentially stable  state estimation   Distributed Secure State Estimation for Cyber-Physical Systems Against Replay Attacks via Multisensor Method 期刊论文  OAI收割 IEEE SYSTEMS JOURNAL, 2021, 页码: 1-9 作者:  Su L(苏磊);   Ye D(叶丹);   Zhao XG(赵新刚)   |  收藏  |  浏览/下载：37/0  |  提交时间：2021/12/31 Sensors  Observers  Detection algorithms  Watermarking  Cyberattack  Estimation error  Time measurement  Detection mechanism  distributed state estimation  multisensor measurements  replay attack   Distributed Kalman Filters With State Equality Constraints: Time-Based and Event-Triggered Communications 期刊论文  OAI收割 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 卷号: 65, 期号: 1, 页码: 28-43 作者:  He, Xingkang;  Hu, Chen;  Hong, Yiguang;  Shi, Ling;  Fang, Hai-Tao   |  收藏  |  浏览/下载：32/0  |  提交时间：2020/05/24 Kalman filters  Observability  Covariance matrices  STEM  Protocols  State estimation  Collective observability  communication rate  consistency  distributed kalman filter  event-triggered  multiagent systems  state equality constraint (SEC)   Distributed mode-dependent state estimation for semi-Markovian jumping neural networks via sampled data 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2019, 卷号: 50, 期号: 1, 页码: 216-230 作者:  Ma, Chao;  Wu, Wei;  Li, Yinlin   |  收藏  |  浏览/下载：48/0  |  提交时间：2019/07/12 Distributed state estimation  semi-Markovian jumping neural networks  sampled data   Consistent distributed state estimation with global observability over sensor network 期刊论文  OAI收割 AUTOMATICA, 2018, 卷号: 92, 页码: 162-172 作者:  He, Xingkang;  Xue, Wenchao;  Fang, Haitao   |  收藏  |  浏览/下载：38/0  |  提交时间：2018/07/30 Wireless sensor networks  Time-varying systems  State estimation  Covariance intersection  Distributed Kalman filter  Global observability  Semi-definite programming   Event-based Control and Filtering of Networked Systems: A Survey 期刊论文  OAI收割 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 3, 页码: 239-253 作者:  Lei Zou;  Zi-Dong Wang;  Dong-Hua Zhou   |  收藏  |  浏览/下载：19/0  |  提交时间：2021/02/23 Event-triggered transmission  networked systems  event-based control  event-based filtering  event-triggered distributed state estimation  distributed control with event-based protocol.   Study on image real-time interpretation based on particle filter (EI CONFERENCE) 会议论文  OAI收割 2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China 作者:  Liu S.-J. 收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25 In order to satisfy to the real-time requirement of image interpretation system in photoelectric measurement equipments  a kind of hardware acceleration system with MIMD distributed multi-processor architecture based on SOPC technology is designed. The particle filter algorithm is proposed to process image interpretation for state estimation problem of nonlinear and non-Gaussian system. This algorithm does not involve conventional linearization transform  and has approximated the posterior probability density by a set of discrete particles. Therefore the approximate optimum result is educed. It has a high accuracy and a rapid convergence. Experimental results show that the algorithm be adequate to real time  accuracy and robustness  meets the requirement of image interpretation and possesses practical significance for engineering applications. 2011 IEEE.