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	Finite-Time Tracking Control of a Flexible Link Manipulator Based on an Extended State Observer 期刊论文 OAI收割 APPLIED SCIENCES-BASEL, 2024, 卷号: 13, 期号: 24 作者: Jing, Feng; Ma, Caiwen; Xie, Meilin; Wang, Fan; Cao, Yu \| 收藏 \| 浏览/下载：48/0 \| 提交时间：2024/02/23 flexible link manipulator (FLM) extended state observer (ESO) finite-time parameter estimation adaptive extended state observer adaptive nonsingular terminal sliding mode (ANTSM)
	Battery state-of-health estimation incorporating model uncertainty based on Bayesian model averaging 期刊论文 OAI收割 ENERGY, 2024, 卷号: 308, 页码: 12 作者: Zou, Qingrong; Wen, Jici; Wen JC(温济慈) \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2024/10/08 State-of-health estimation Model uncertainty Parameter uncertainty Lithium-ion batteries Bayesian model averaging
	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) \| 收藏 \| 浏览/下载：27/0 \| 提交时间：2018/12/01 Parameter identification State-space model Recursive subspace method Time-varying system Affine projection sign algorithm State estimation
	Model identification for K mirror turntable of 2 m telescope 期刊论文 OAI收割 Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2018, 卷号: 47, 期号: 3 作者: Xia, Peipei; Deng, Yongting; Wang, Zhiqian; Li, Hongwen; Wang, Xianjun \| 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/09/17 Parameter estimation Frequency response Identification (control systems) Mirrors Singular value decomposition State space methods Telescopes
	Comparison of ensemble-based state and parameter estimation methods for soil moisture data assimilation 期刊论文 iSwitch采集 ADVANCES IN WATER RESOURCES, 2015, 卷号: 86, 页码: 425-438 作者: Chen, Weijing; Huang, Chunlin; Shen, Huanfeng; Li, Xin 收藏 \| 浏览/下载：94/0 \| 提交时间：2019/10/09 Data assimilation Soil moisture Brightness temperature State-parameter estimation Common Land Model
	Simultaneous estimation of surface soil moisture and soil properties with a dual ensemble Kalman smoother 期刊论文 iSwitch采集 SCIENCE CHINA-EARTH SCIENCES, 2015, 卷号: 58, 期号: 12, 页码: 2327-2339 作者: Chu Nan; Huang ChunLin; Li Xin; Du PeiJun 收藏 \| 浏览/下载：93/0 \| 提交时间：2019/10/09 soil moisture soil properties data assimilation state-parameter estimation dual ensemble Kalman smoother
	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：59/0 \| 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).
	Real-Time Implementation of Adaptive State Feedback Predictive Control of PEM Fuel Cell Flow Systems Using the Singular Pencil Model Method 期刊论文 OAI收割 IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2009, 卷号: 17, 期号: 3, 页码: 697-706 作者: Tong, Shi-Wen; Liu, Guo-Ping; Wang, Xiaochun George; Tan, Min 收藏 \| 浏览/下载：26/0 \| 提交时间：2015/08/12 Fuel cells identification parameter estimation predictive control singular pencil model (SPM) state estimation
	A UD factorization-based nonlinear adaptive set-membership filter for ellipsoidal estimation 期刊论文 OAI收割 International Journal of Robust and Nonlinear Control, 2008, 卷号: 18, 期号: 16, 页码: 1513-1531 作者: Zhou B(周波); Han JD(韩建达); Liu GJ(刘光军) 收藏 \| 浏览/下载：26/0 \| 提交时间：2012/05/29 set-membership filter UD factorization nonlinear state and parameter estimation adaptive filter parameter determination