中国科学院机构知识库网格系统: 检索

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	Composite Control Design for Systems With Uncertainties and Noise Using Combined Extended State Observer and Kalman Filter 期刊论文 OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 4, 页码: 4119-4128 作者: Sun, Hao; Madonski, Rafal; Li, Shihua; Zhang, Ya; Xue, Wenchao \| 收藏 \| 浏览/下载：64/0 \| 提交时间：2022/04/02 Observers Noise measurement Steady-state Kalman filters Tuning Measurement uncertainty Estimation error Composite control disturbance rejection extended state observer (ESO) Kalman filter (KF) sensor noise
	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 \| 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
	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: \| 收藏 \| 浏览/下载：30/0 \| 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
	Finite-Time Filter Decentralized Control for Nonstrict-Feedback Nonlinear Large-Scale Systems 期刊论文 OAI收割 IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 卷号: 26, 期号: 6, 页码: 3289-3300 作者: Sui, Shuai; Tong, Shaocheng; Chen, C. L. Philip \| 收藏 \| 浏览/下载：46/0 \| 提交时间：2019/07/12 Backstepping technique filter state observer finite time nonlinear large-scale systems nonstrict-feedback form
	Active robust control of uncertainty and flexibility suppression for air-breathing hypersonic vehicles 期刊论文 OAI收割 AEROSPACE SCIENCE AND TECHNOLOGY, 2015, 卷号: 42, 页码: 429-441 作者: Pu, Zhiqiang; Yuan, Ruyi; Tan, Xiangmin; Yi, Jianqiang; Zhiqiang Pu 收藏 \| 浏览/下载：19/0 \| 提交时间：2015/09/21 Hypersonic vehicle Uncertainty Flexibility Extended state observer Notch filter
	Estimation of Battery State of Charge With H-infinity Observer: Applied to a Robot for Inspecting Power Transmission Lines 期刊论文 OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2012, 卷号: 59, 期号: 2, 页码: 1086-1095 作者: Zhang F(张飞); Liu GJ(刘光军); Fang LJ(房立金); Wang HG(王洪光) 收藏 \| 浏览/下载：66/0 \| 提交时间：2012/10/24 Battery H-infinity observer inspection robot Kalman filter (KF) power transmission lines state of charge (SOC)
	Model Correction Control Strategy for Direct Drive Permanent Magnet Synchronous Motor Servo System 会议论文 OAI收割 22nd Chinese Control and Decision Conference, Xuzhou, China, May 26-28, 2010 作者: Huang LS(黄梁松); Qu DK(曲道奎); Xu F(徐方) 收藏 \| 浏览/下载：26/0 \| 提交时间：2012/06/06 direct drive model correction Kalman filter and state observer
	Platform and steady kalman state observer design for intelligent vehicle based on visual guidance (EI CONFERENCE) 会议论文 OAI收割 2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008, April 21, 2008 - April 24, 2008, Chengdu, China Rong-hui Z.; Rong-ben W.; Feng Y.; Hong-guang J.; Tao C. 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/03/25 State observer design is one of key technologies in research field of intelligent vehicle. Experiment platform visual guidance intelligent vehicle JLUIV-5 is establishedby Jilin University Intelligent Vehicle Group firstly. The system structure and assistant navigation control system and different image identify algorithms to recognize preview path and stops for variable illuminations are introduced. The dynamic response equation of steering control system was got by system identification experiment. By combined with the preview kinematics model and two-degree steering dynamic model of vehicle the steering kalman filter mathematics model based on preview kinematics for intelligent vehicle was obtained. And observer is designed by applying steady Kalman filter theory. The simulation and experiment results carry out in Jilin University Nanling Campus and Culture Center of Jilin Province show that the image identify algorithms and steady Kalmanstate observer designed by the proposed method has good adaptability for time-varying and parameters uncertain it can satisfy intelligent vehicle trace the path reliably during outdoor experiment. 2008 IEEE.
	Output feedback exponential stabilization of uncertain chained systems 期刊论文 OAI收割 JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2007, 卷号: 344, 期号: 1, 页码: 36-57 作者: Xi, Zairong; Feng, Gang; Jiang, Z. P.; Cheng, Daizhan \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2018/07/30 chained form systems input-state scaling backstepping observer gain filter output feedback