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	Max-Min Fair Sensor Scheduling: Game-Theoretic Perspective and Algorithmic Solution 期刊论文 OAI收割 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 卷号: 66, 期号: 5, 页码: 2379-2385 作者: Wu, Shuang; Ren, Xiaoqiang; Hong, Yiguang; Shi, Ling \| 收藏 \| 浏览/下载：36/0 \| 提交时间：2021/10/26 Games Resource management Nash equilibrium Optimal scheduling Scheduling Estimation error Game theory Kalman filtering max– min fairness scheduling state estimation
	Optimal State Estimation and Fault Diagnosis For a Class of Nonlinear Systems 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 517-526 作者: Hamed Kazemi; Alireza Yazdizadeh \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2021/03/11 Differential geometry fault detection and isolation (FDI) fault diagnosis neural network (NN) nonlinear observer and filter design optimal state estimation
	Research on satellite platform vibration compensation method based on liquid crystal steering system (EI CONFERENCE) 会议论文 OAI收割 2011 SSITE International Conference on Future Material Research and Industry Application, FMRIA 2011, December 1, 2011 - December 2, 2011, Macau, China 作者: Wen M. 收藏 \| 浏览/下载：13/0 \| 提交时间：2013/03/25 This paper presents the disturbance compensation scheme based on liquid crystal steering system according to the problem that satellite platform vibration affects the tracking and pointing accuracy in space optical communication. The mathematical model of liquid crystal steering system is built. For improving convergence speed the adaptive controller based on posteriori estimation errors RLS lattice filter is designed which not only achieves fast adaptation but also reaches optimal steady-state disturbance compensation. Finally the simulation results show that this control scheme is valid and feasible. (2012) Trans Tech Publications Switzerland.
	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：56/0 \| 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).
	Quantum cloning machines 期刊论文 OAI收割 QUANTUM COMPUTATION AND INFORMATION: FROM THEORY TO EXPERIMENT, 2006, 卷号: 102, 页码: 63 Fan, H 收藏 \| 浏览/下载：32/0 \| 提交时间：2013/09/24 NO-CLONING PROBABILISTIC CLONING OPTIMAL UNIVERSAL STATE ESTIMATION MIXED STATES PURE STATES INFORMATION SEPARABILITY SYSTEMS THEOREM
	Optimal assimilation for ionospheric weather - Theoretical aspect 会议论文 OAI收割 World Space Environment Forum (WSEF2002), Adelaide, Australia, 2003 作者: Guo, J. S.; Shang SP(尚社平); Shi JK(史健魁); Zhang, M. L.; Luo, X. G. 收藏 \| 浏览/下载：35/0 \| 提交时间：2014/04/30 data assimilation system dynamic process model and measurement statistic properties optimal estimation state space