中国科学院机构知识库网格系统: 检索

Stability Analysis of Rock Slopes Subjected to Block-Flexure Toppling Failure Using Adaptive Moment Estimation Method (Adam) 期刊论文 OAI收割
ROCK MECHANICS AND ROCK ENGINEERING, 2022, 页码: 12
作者: Zheng, Yun; Chen, Congxin; Wang, Runqing; Meng, Fei

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收藏 | 浏览/下载：48/0 | 提交时间：2022/04/11

Rock slopes Stability analysis Failure surface Safety factor Block-flexure toppling Adaptive moment estimation method

Design and Implementation of Bounded Finite-Time Control Algorithm for Speed Regulation of Permanent Magnet Synchronous Motor 期刊论文 OAI收割
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 3, 页码: 2417-2426
作者: Du, Haibo; Wen, Guanghui; Cheng, Yingying; Lu, Jinhu

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收藏 | 浏览/下载：30/0 | 提交时间：2021/04/26

Mathematical model Heuristic algorithms Stability analysis Control systems Observers Permanent magnet motors Disturbance estimation compensation finite-time control permanent magnet synchronous motor (PMSM) speed regulation

Fault estimation for continuous-time non-linear switched systems with time-varying delay based on intermediate estimator 期刊论文 OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 19, 页码: 3020-3028
作者: Wang, Yuenan; Zhu, Yanzheng; Ji, Wenchengyu; Jiang, Yulian; Wang, Shenquan

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收藏 | 浏览/下载：36/0 | 提交时间：2021/05/06

time-varying systems asymptotic stability linear systems Lyapunov methods delays convex programming linear matrix inequalities observers discrete time systems continuous-time nonlinear switched systems time-varying delay intermediate estimator fault estimation problem fading channel time switching intermediate variable observer matching conditions tighter estimation linear matrix inequality problem

Extended State Filter Based Disturbance and Uncertainty Mitigation for Nonlinear Uncertain Systems With Application to Fuel Cell Temperature Control 期刊论文 OAI收割
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 卷号: 67, 期号: 12, 页码: 10682-10692
作者: Xue, Wenchao; Zhang, Xiaocheng; Sun, Li; Fang, Haitao

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收藏 | 浏览/下载：41/0 | 提交时间：2020/11/18

Estimation Stochastic processes Uncertainty Heuristic algorithms Temperature control Nonlinear systems Stability analysis Disturbance and uncertainty mitigation nonlinear uncertain systems extended state observer (ESO) Kalman-Bucy filter (KBF) proton exchange membrane fuel cell (PEMFC) temperature control

Composite Learning Enhanced Robot Impedance Control 期刊论文 OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 1052-1059
作者: Sun, Tairen; Peng, Liang; Cheng, Long; Hou, Zeng-Guang; Pan, Yongping

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收藏 | 浏览/下载：33/0 | 提交时间：2020/06/02

Impedance Convergence Robots Stability criteria Uncertainty Parameter estimation Adaptive control composite adaptation impedance control learning control parameter convergence robot

H∞ State Estimation for Stochastic Markovian Jumping Neural Network with Time-varying Delay and Leakage Delay 期刊论文 OAI收割
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 329-340
作者: Ya-Jun Li; Zhao-Wen Huang; Jing-Zhao Li

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收藏 | 浏览/下载：6/0 | 提交时间：2021/02/22

H∞ filtering state estimation Markovian jump exponential stability linear matrix inequality (LMI) neural networks time-varying delay leakage delay.

Improved Adaptive Hybrid Compensation for Compound Faults of Non-Gaussian Stochastic Systems 期刊论文 OAI收割
IEEE ACCESS, 2019, 卷号: 7, 页码: 51284-51294
作者: Hu, Kaiyu; Wen, Changyun; Yusup, Aili

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收藏 | 浏览/下载：25/0 | 提交时间：2020/03/10

Non-Gaussian stochastic systems nonlinear dynamical systems compound faults adaptive estimation fault-tolerant control robust stability

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).

An Index for Estimating the Stability of Brittle Surrounding Rock Mass: FAI and its Engineering Application 期刊论文 OAI收割
ROCK MECHANICS AND ROCK ENGINEERING, 2011, 卷号: 44, 期号: 4, 页码: 401-414
作者: Feng, X. T.; Zhou, H.; Zhang, C. Q.

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收藏 | 浏览/下载：34/0 | 提交时间：2018/06/05

Failure approach index Yield surface Equivalent plastic shear strain Stability estimation Underground powerhouse Tunnel

Estimation algorithm of mobile OFDM CFOs based on step-size (EI CONFERENCE) 会议论文 OAI收割
2009 International Conference on Information Engineering and Computer Science, ICIECS 2009, December 19, 2009 - December 20, 2009, Wuhan, China
Lin L.; Qiao Y.-F.; Su W.-X.

收藏 | 浏览/下载：26/0 | 提交时间：2013/03/25

In order to maintain orthogonality among subcarriers for mobile OFDM a CFOs step-size estimation model is established to avoid severe performance degradation caused by ICI and algorithmic stability step-size parameter the error of CFOs estimate and etc are investigated. First after an averaging window algorithm is introduced the mathematic model of step-size estimation algorithm is obtained through step-size parameter and time-varying CFOs. Then based on the results of MATLAB simulation the determination of step-size parameter the advantages of step-size algorithm and precision are discussed. Finally time sequence plots of added CP interleaver and subcarrier modulation with VHDL are presented. Experimental results indicate that the maximum of CFOs errors is 0.00987 in 3 variance interval when mobile velocity is 400 km/h according with verdicted principle that in order for the ICI effects to be negligible the error of CFOs estimation must be accurate within 1-2% of the subcarrier spacing and programs can correctly implement on circuit board. 2009 IEEE.