中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
长春光学精密机械与物... [2]
自动化研究所 [1]
采集方式
OAI收割 [3]
内容类型
会议论文 [2]
期刊论文 [1]
发表日期
2022 [1]
2011 [2]
学科主题
筛选
浏览/检索结果:
共3条,第1-3条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
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
Target Capturing in an Ellipsoidal Region for a Swarm of Double Integrator Agents
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 801-811
作者:
Antonio Bono
;
Luigi D’Alfonso
;
Giuseppe Fedele
;
Veysel Gazi
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/04/24
Agents-based systems
cooperative control
swarms
target-capturing
Research on moving target tracking scene simulation technology under battlefield complicated environment based on Vega (EI CONFERENCE)
会议论文
OAI收割
4th International Congress on Image and Signal Processing, CISP 2011, October 15, 2011 - October 17, 2011, Shanghai, China
Wang S.
;
Wei Y.-J.
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2013/03/25
In order to better simulate the real environment of the battlefield
which has moving-target and the complicated background and to simulate the tracking process of the target with 3d's simulation. This paper introduce a development platform of the Vega 3d simulation software
and how to use the Vega to simulate the complex battlefield background
which has the sky
the explosion effects in the ground
the fly parameters of fighter planes. It reappear a complete process
which contains capturing target and tracking target. Experiment indicate that the Vega development platform is convenient and fast
and can achieved the design parameters for the task's demands. It also has many advantages
that contains repeating the performance of real experiment and reducing the expenses of the military experiment. 2011 IEEE.
The ship-borne infrared searching and tracking system based on the inertial platform (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:
Li Y.
;
Zhang H.
;
Zhang H.
;
Li Y.
;
Li Y.
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2013/03/25
As a result of the radar system got interferenced or in the state of half silent
it can cause the guided precision drop badly In the modern electronic warfare
therefore it can lead to the equipment depended on electronic guidance cannot strike the incoming goals exactly. It will need to rely on optoelectronic devices to make up for its shortcomings
but when interference is in the process of radar leading
especially the electro-optical equipment is influenced by the roll
pitch and yaw rotation
it can affect the target appear outside of the field of optoelectronic devices for a long time
so the infrared optoelectronic equipment can not exert the superiority
and also it cannot get across weapon-control system "reverse bring" missile against incoming goals. So the conventional ship-borne infrared system unable to track the target of incoming quickly
the ability of optoelectronic rivalry declines heavily.Here we provide a brand new controlling algorithm for the semi-automatic searching and infrared tracking based on inertial navigation platform. Now it is applying well in our XX infrared optoelectronic searching and tracking system. The algorithm is mainly divided into two steps: The artificial mode turns into auto-searching when the deviation of guide exceeds the current scene under the course of leading for radar.When the threshold value of the image picked-up is satisfied by the contrast of the target in the searching scene
the speed computed by using the CA model Least Square Method feeds back to the speed loop. And then combine the infrared information to accomplish the closed-loop control of the infrared optoelectronic system tracking. The algorithm is verified via experiment. Target capturing distance is 22.3 kilometers on the great lead deviation by using the algorithm. But without using the algorithm the capturing distance declines 12 kilometers. The algorithm advances the ability of infrared optoelectronic rivalry and declines the target capturing time by using semi-automatic searching and reliable capturing-tracking
when the lead deviation of the radar is great. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).