中国科学院机构知识库网格系统: 检索

Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies 期刊论文 OAI收割
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 卷号: 69, 期号: 4, 页码: 3615-3627
作者: Zhu, Yuanheng; Zhao, Dongbin; He, Haibo

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收藏 | 浏览/下载：26/0 | 提交时间：2020/06/22

Cooperative cruise control H-infinity-norm L-2-gain time-delay system state-space model

Time-space Viewpoint Planning for Guard Robot with Chance Constraint 期刊论文 OAI收割
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 475-490
作者: Igi Ardiyanto; Jun Miura

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收藏 | 浏览/下载：24/0 | 提交时间：2021/02/22

Guard robot viewpoint planning state-time space uncertainty topology chance-constraint.

Time-varying state-space model identification of an on-orbit rigid-flexible coupling spacecraft using an improved predictor-based recursive subspace algorithm 期刊论文 OAI收割
Acta Astronautica, 2019, 卷号: 163, 页码: 157-167
作者: Ni ZY(倪智宇); Liu JG(刘金国); Wu SN(邬树楠); Wu ZG(吴志刚)

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收藏 | 浏览/下载：42/0 | 提交时间：2018/12/01

Parameter identification State-space model Recursive subspace method Time-varying system Affine projection sign algorithm State estimation

On-orbit identification of time-varying moment of inertia for spacecraft based on a recursive subspace method 会议论文 OAI收割
36th Chinese Control Conference, CCC 2017, Dalian, China, July 26-28, 2017
作者: Ni ZY(倪智宇); Shen XH(沈昕慧); Liu JG(刘金国); Wu ZG(吴志刚)

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收藏 | 浏览/下载：39/0 | 提交时间：2017/11/15

Recursive subspace method time-varying system moment of inertia on-orbit identification state space model

On-orbit identification of time-varying moment of inertia for spacecraft using an improved recursive subspace method 会议论文 OAI收割
2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), Ningbo, China, November 19-21, 2017
作者: Ni ZY(倪智宇); Shen XH(沈昕慧); Liu JG(刘金国); Chang CG(畅晨光)

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收藏 | 浏览/下载：32/0 | 提交时间：2017/12/21

moment of inertia recursive subspace method time-varying system state-space model on-orbit identification

Relativistic solutions of anisotropic compact objects 期刊论文 OAI收割
ASTROPHYSICS AND SPACE SCIENCE, 2014, 卷号: 354, 期号: 2, 页码: 421-430
Paul, BC; Deb, R

收藏 | 浏览/下载：40/0 | 提交时间：2015/06/03

SPHEROIDAL SPACE-TIME EQUATION-OF-STATE SUPERDENSE STAR GENERAL-RELATIVITY FLUID SPHERES MODELS

COSMOLOGICAL CONSTRAINT AND ANALYSIS ON HOLOGRAPHIC DARK ENERGY MODEL CHARACTERIZED BY THE CONFORMAL-AGE-LIKE LENGTH 期刊论文 OAI收割
INTERNATIONAL JOURNAL OF MODERN PHYSICS A, 2012, 卷号: 27, 期号: 22, 页码: 1250130
作者: Wu, YL

收藏 | 浏览/下载：36/0 | 提交时间：2014/04/25

KAROLYHAZY UNCERTAINTY RELATION PROBE WMAP OBSERVATIONS EQUATION-OF-STATE SPACE-TIME INFRARED CUTOFF CONSTANT UNIVERSE SUPERNOVAE TRANSITION INFLATION

AUTONOMOUS INTEGRATED NAVIGATION USING X-RAY PULSARS AND ASTEROIDS 会议论文 OAI收割
63rd International Astronautical Congress 2012, IAC 2012, Naples, Italy, 2012
Yang Chengwei; Gao Dong; Zheng Jianhua

收藏 | 浏览/下载：51/0 | 提交时间：2014/04/30

To improve the navigation performance of the spacecraft during interplanetary cruise a novel integrated navigation system is proposed. For X-ray pulsar navigation (XNAV) is a hot and prospective research subject and the optical navigation using asteroids is practical in space engineering we designed an autonomous navigation system using one X-ray detector and one navigation camera. The measurement models of the XNAV based on the time difference of arrival and the optical navigation based on the images of asteroids are presented. To enhance practicality the X-ray pulsars and asteroids are observed by turns. The batch least square filter used by Deep Space I is adopted to estimate the system state. The numerical simulation results show that the integrated navigation is feasible on the interplanetary cruise orbit. Moreover compared with the XNAV and the optical navigation the integrated navigation system can provide higher navigation performance.

The new approach for infrared target tracking based on the particle filter algorithm (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: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：68/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Temporal variability of soil water storage evaluated for a coffee field SCI/SSCI论文 OAI收割
2011
Timm L. C.; Dourado-Neto D.; Bacchi O. O. S.; Hu W.; Bortolotto R. P.; Silva A. L.; Bruno I. P.; Reichardt K.

收藏 | 浏览/下载：37/0 | 提交时间：2012/06/08

multiple regression neutron probe sampling number state-space state-time moisture