国家自然科学基金(60825304)

作品数:9被引量:15H指数:2
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相关作者:张焕水宋信敏魏丽付敏跃谢立华更多>>
相关机构:山东大学南京邮电大学纽卡斯尔大学南洋理工大学更多>>
相关期刊:《山东大学学报(理学版)》《计算机技术与发展》《The Journal of China Universities of Posts and Telecommunications》《Control Theory and Technology》更多>>
相关主题:USINGSYSTEMS英文INFORMATION_FUSIONUWB更多>>
相关领域:自动化与计算机技术电子电信理学交通运输工程更多>>
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基于PCRLB的目标跟踪节点选择算法被引量:2
《计算机技术与发展》2017年第10期54-59,共6页庞小双 王邢波 
国家自然科学基金杰出青年基金(60825304);国家"973"重点基础研究发展计划项目(2009cb320600)
针对能量、带宽、存储等资源限制的无线传感器网络下的目标跟踪问题,提出了基于扩展H∞滤波的后验-克拉美罗下界(PCRLB)传感器节点的选择算法。该算法可随时间动态选择一个最优传感器集合并将均方根误差(RMSE)作为优化目标跟踪的性能。...
关键词:目标跟踪 节点选择 均方根误差 后验-克拉美罗下界 扩展H∞滤波 无线传感器网络 
Three-dimensional pursuer convoy by using guidance laws被引量:1
《控制理论与应用(英文版)》2013年第3期442-453,共12页Shulin FENG Wei WANG Huanshui ZHANG 
supported by the National Natural Science Foundation for Distinguished Young Scholars of China (No. 60825304);the National Nature Science Foundation of China (No. 61104050);the National Basic Research Development Program of China (973 Program) (No. 2009cb320600);the Natural Science Foundation of Shandong Province (No. ZR2011FQ020)
This paper investigates the problem of modeling and controlling pursuer convoy in three-dimensional space. The guidance laws applied for convoy, the velocity pursuit, the deviated pursuit and the proportional navigati...
关键词:Pursuer convoy Three-dimensional space Guidance laws LOS 
Collaborative target tracking in WSNs using the combination of maximum likelihood estimation and Kalman filtering被引量:4
《控制理论与应用(英文版)》2013年第1期27-34,共8页Xingbo WANG Huanshui ZHANG Minyue FU 
supported by the National Natural Science Foundation for Distinguished Young Scholars of China (No. 60825304);the National Basic Research Development Program of China (973 Program) (No. 2009cb320600);the Open Project of State Key Laboratory of Industrial Control Technology (ICT1006)
Target tracking using wireless sensor networks requires efficient collaboration among sensors to tradeoff between energy consumption and tracking accuracy. This paper presents a collaborative target tracking approach ...
关键词:Target tracking Wireless sensor network Maximum likelihood estimation Kalman filtering Fisher information matrix Sensor selection 
NLOS error mitigation with information fusion algorithm for UWB ranging systems被引量:5
《The Journal of China Universities of Posts and Telecommunications》2012年第2期22-29,共8页JIANG Xiang-yuan ZHANG Huan-shui WANG Wei 
supported by the National Natural Science Foundation for Distinguished Young Scholars of China (60825304);the National Basic Research Development Program of China(2009cb320600)
This article puts forward a scalar weighting information fusion (IF) smoother with modified biased Kalman filter (BKF) and maximum likelihood estimation (MLE) to mitigate the ranging errors in ultra wide band (...
关键词:NLOS error mitigation biased Kalman filter maximum likelihood estimation information fusion UWB ranging system 
Optimal linear estimator for discrete-time systems with random delays被引量:2
《控制理论与应用(英文版)》2012年第1期19-27,共9页Chunyan HAN Huanshui ZHANG Gang FENG 
supported by the Natural Science Foundation of Shandong Province (No. ZR2011FQ020);the National Natural Science Foundation for Distinguished YoungScholars of China (No. 60825304);the National Natural Science Foundation of China (Nos. 61104050, 61074021)
In this paper, optimal estimation for discrete-time linear time-varying systems with randomly state and measurement delays is considered. By introducing a set of binary random variables, the system is converted into t...
关键词:Optimal estimator Random delay Projection formula Partial difference equations Asymptotic stability 
基于有限时间的扇形界方法的量化估计(英文)
《山东大学学报(理学版)》2012年第1期55-61,共7页魏丽 张焕水 付敏跃 
Supported by the Taishan Scholar Construction Engineering by Shandong Government;the National Natural Science Foundation for Distinguished Young Scholars of China(60825304);the Major State Basic Research Development Program of China(973 Program)(2009cb320600);Yangtse Rive Scholar Bonus Schemes(31400080963017)
研究了具有对数量化器的离散时间系统的有限时间量化估计问题。利用扇形界的方法给出了量化误差,进一步设计了有限时间的量化估计器,使得对于由所有的量化新息给出的量化估计误差都在一个有限界之内,并且使得这个界在范数意义下尽可能...
关键词:离散时间系统 对数量化器 量化估计 扇形界 
一般时滞系统最优控制的逐步优化方法(英文)
《山东大学学报(理学版)》2011年第10期45-56,共12页张焕水 宋信敏 谢立华 
Supported by the Taishan Scholar Construction Engineering by Shandong Government;the National Natural Science Foundation for Distinguished Young Scholars of China(60825304);the Major State Basic Research Development Program of China(973 Program)(2009cb320600)
上世纪60年代以来,借助于动态规划,无时滞系统的最优控制已经得到了很好的解决,然而,经典的动态规划没有像无时滞系统中逐步导出控制器一样,成功地应用于时滞系统。在本文中,针对一般时滞系统的最优控制问题,通过引入一对偶的倒向随机...
关键词:时滞 最优控制 乘性噪声 完全平方 动态规划 
Infinite horizon LQR for systems with multiple delays in a single input channel
《控制理论与应用(英文版)》2010年第3期368-374,共7页Shuai LIU Lihua XIE Huanshui ZHANG 
supported by the National Natural Science Foundation of China (No.60828006);the National Natural Science Foundation for Distinguished Young Scholars of China (No.60825304);the Major State Basic Research Development Program of China (973 Program)(No.2009cb320600)
This paper is concerned with the linear quadratic regulation (LQR) problem for both linear discrete-time systems and linear continuous-time systems with multiple delays in a single input channel. Our solution is giv...
关键词:Input delay systems Linear quadratic regulation Riccati difference and differential equations Stability analysis 
H-infinity deconvolution filtering:a Krein space approach in state-space setting被引量:1
《控制理论与应用(英文版)》2009年第2期185-191,共7页Xiao LU Huanshui ZHANG Wei WANG Jie YAN 
supported by the National Natural Science Foundation of China (No.60574016,60804034);the Natural Science Foundation of Shandong Province (No.Y2007G34);the National Natural Science Foundation for Distinguished Youth Scholars of China (No.60825304);973 Program (No.2009cb320600);the first two authors are also supported by "Taishan Scholarship" Construction Engineering
This note is concerned with the H-infinity deconvolution filtering problem for linear time-varying discretetime systems described by state space models, The H-infinity deconvolution filter is derived by proposing a ne...
关键词:DECONVOLUTION H-INFINITY Krein space Riccati equations 
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