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国家自然科学基金(60774003)

作品数:7 被引量:43H指数:3
相关作者:贾英民陈佳鑫崔艳孙戎凌建衡更多>>
相关机构:北京航空航天大学更多>>
发文基金:国家自然科学基金国家重点基础研究发展计划国家教育部博士点基金更多>>
相关领域:自动化与计算机技术理学生物学水利工程更多>>

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多智能体网络一致性鲁棒H_∞控制问题被引量:2
2012年
研究了具有不确定性的、定拓扑、无向图多智能体网络的一致性问题,采用鲁棒H∞控制的方法,得到了使各智能体渐近一致并满足干扰衰减性能指标的条件。最后,通过数值仿真验证了所得结论的有效性。
孙戎贾英民
关键词:一致性鲁棒H∞控制
空间连接型宽带干扰机的研究
2012年
基于对干扰卫星上、下行链路的可行性分析,研究了一种空间连接型宽带干扰机。该装置主要从连接模块和干扰模块的结构和功能方面进行了设计。具体来说,连接模块连接到卫星表面,解决了远距离信号传输的功率损耗问题,实现了装置的小型化;干扰模块通过发射宽带噪声信号,实现了对微波全频段(100MHz~18GHz)卫星上行链路及其转发器的阻塞式干扰。根据卫星通信系统的特点,对该装置的干扰性能进行了分析。通过地面实验验证了该装置的连接功能。
凌建衡贾英民
关键词:宽带阻塞式干扰小型化
Neural Networks Control of a Nonholonomic Mobile Robot with Deadzone Compensation
<正>This paper presents a control structure designed by backstepping method for nonholonomic mobile robots with...
WANG Kai~1,JIA Yingmin~(1,2),DU Junping~3,YU Fashan~4 1.The Seventh Research Division and the Department of Systems and Control,Beihang University(BUAA),Beijing 100191,P.R.China 2.Key Laboratory of Mathematics,Informatics and Behavioral Semantics(LMIB),Ministry of Education,SMSS,Beihang University (BUAA),Beijing 100191,P.R.China 3.Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,School of Computer Science and Technology, Beijing University of Posts and Telecommunications,Beijing 100876,P.R.China 4.School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,Henan,P.R.China
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Model Matching Control of Multiple-Input-Delay Systems
<正>In this paper,the model matching problem for multiple-input-delay(MID) systems is considered.The MID system...
Haixia Su~1,Yingmin Jia~1,Fashan Yu~2 1.The Seventh Research Division,Beihang University(BUAA),Beijing 100191,China 2.Henan Polytechnic University,Jiaozuo 454003,China
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Robust State Estimation for Jump Markov Linear Systems with Autonomous Mode Transitions
This paper addresses the robust state estimation problem for a class of jump Markov linear systems(JMLSs)with ...
LI Wenling1,JIA Yingmin1,2,MENG Deyuan11.The Seventh Research Division and the Department of Systems and Control,Beihang University(BUAA),Beijing 100191,P.R.China2.Key Laboratory of Mathematics,Informatics and Behavioral Semantics(LMIB),Ministry of Education,SMSS,Beihang University(BUAA),Beijing 100191,P.R.China
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Optimal Regularization Parameters Selection for Laplacian Support Vector Machine
Laplacian support vector machine(LapSVM) is an attracting tool for semi-supervised classification with manifol...
Li Juntao1,Jia Yingmin1,Du Junping2,Li Wenlin3 1.The Seventh Research Division,Beihang University(BUAA) ,Beijing 100083,P.R.China 2.Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,School of Computer Science and Technology,Beijing University of Posts and Telecommunications,Beijing 100876,P.R.China 3.College of Mathematics and Information Science,Henan Normal University,Xingxiang 453007,P.R.China
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Bearings-only Multi-Sensor Multi-Target Tracking Based on Rao-Blackwellized Monte Carlo Data Association
This paper addresses the problem of tracking multiple targets using multi-sensor bearings-only measurements in...
WANG Yazhao1,JIA Yingmin1,2,DU Junping3,YU Fashan4 1.The Seventh Research Division and the Department of Systems and Control,Beihang University(BUAA),Beijing 100191,P.R.China2.Key Laboratory of Mathematics,Informatics and Behavioral Semantics(LMIB),Ministry of Education,SMSS,Beihang University(BUAA),Beijing 100191,P.R.China3.Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,School of Computer Science and Technology,Beijing University of Posts and Telecommunications,Beijing 100876,P.R.China4.School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,Henan,P.R.China
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Tracking of Multiple Targets in Clutter Using Optimal Sets Based on Linear Programming
<正>This paper is devoted to the problem of tracking multiple targets in clutter and a new methods is presented...
Xiaoyan Fu~1,Yingmin Jia~1,Shiying,Yuan~2 1.The Seventh Research Division,Beihang University(BUAA),Beijing 100191,China 2.School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,Henan
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一种基于漫水填充法的实时彩色目标识别方法被引量:23
2012年
漫水填充法需要人工选择初始种子点。基于漫水填充法的实时彩色目标识别方法,首先通过直方图阈值法实现了初始种子点的自动选取,并设置了去噪邻域窗,以防止不属于目标区域的像素点被选为初始种子点。从初始种子点出发,使用漫水填充法,得到一组互无交集的连通区域及其外接矩形。然后,利用各连通区域外接矩形几何中心之间的距离,对连通区域进行归类。合并属于同一类的所有区域即得到完整的目标区域。实验表明:改进算法能很好地识别颜色特征突出的目标,对光照变化具有较强的鲁棒性,能完成实时彩色目标识别任务,与使用广泛的直方图阈值分割法相比,它能更加准确地对目标进行识别。
陈佳鑫贾英民
Leader-Following Consensus Protocol for Second-Order Multi-Agent Systems Using Neural Networks
In this paper,an adaptive leader-following consensus protocol is proposed for second-order multi-agent systems...
Liu Yang,Jia Yingmin The Seventh Research Division,Beihang University (BUAA),Beijing 100083,P.R.China
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