中国科学院机构知识库网格系统: 检索

A Continuous Change Tracker Model for Remote Sensing Time Series Reconstruction 期刊论文 OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 9, 页码: 21
作者: Zhang, Yangjian; Wang, Li; He, Yuanhuizi; Huang, Ni; Li, Wang

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收藏 | 浏览/下载：24/0 | 提交时间：2022/09/21

CCTM model function-based model time series reconstruction time series compression trend-fitting

Fixed-time observer based adaptive neural network time-varying formation tracking control for multi-agent systems via minimal learning parameter approach 期刊论文 OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 9, 页码: 1147-1157
作者: Xiong, Tianyi; Pu, Zhiqiang; Yi, Jianqiang; Tao, Xinlong

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收藏 | 浏览/下载：51/0 | 提交时间：2020/07/06

neurocontrollers multi-agent systems Lyapunov methods closed loop systems nonlinear control systems time-varying systems adaptive control observers uncertain systems position control radial basis function networks robust control control system synthesis learning (artificial intelligence) minimal learning-parameter approach fixed-time CLSO time-varying formation tracking problem formation tracking control scheme multiagent systems time-varying formation tracking control problem model uncertainties velocity measurements radial basis function neural networks fixed-time cascaded leader state observer fixed-time observer-based adaptive neural network time-varying formation tracking control RBFNN-based adaptive control scheme

Local difference-based active contour model for medical image segmentation and bias correction 期刊论文 OAI收割
IET Image Processing, 2019, 卷号: 13, 期号: 10, 页码: 1755-1762
作者: Niu, Yuefeng; Cao, Jianzhong

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收藏 | 浏览/下载：71/0 | 提交时间：2019/09/25

image segmentation medical image processing two-phase model medical images LBDE model precise segmentation results comparative models local difference-based active contour model medical image segmentation bias correction local bias field difference estimation model smooth orthogonal basis functions clustering criterion function measured image local region accurate segmentation results level set evolution process

Local difference-based active contour model for medical image segmentation and bias correction 期刊论文 OAI收割
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 10, 页码: 1755-1762
作者: Niu, Yuefeng; Cao, Jianzhong

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收藏 | 浏览/下载：26/0 | 提交时间：2020/06/05

image segmentation medical image processing two-phase model medical images LBDE model precise segmentation results comparative models local difference-based active contour model medical image segmentation bias correction local bias field difference estimation model smooth orthogonal basis functions clustering criterion function measured image local region accurate segmentation results level set evolution process

Ship Detection from Optical Remote Sensing Images Using Multi-Scale Analysis and Fourier HOG Descriptor 期刊论文 OAI收割
Remote Sensing, 2019, 卷号: 11, 期号: 13, 页码: 19
作者: C.Dong; J.H.Liu; F.Xu; C.L.Liu

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收藏 | 浏览/下载：35/0 | 提交时间：2020/08/24

steering pyramid,saliency model,graph-based segmentation,Fourier HOG,feature,circular basis function

Correcting Bidirectional Effect for Multiple-Flightline Aerial Images Using a Semiempirical Kernel-Based Model SCI/SSCI论文 OAI收割
2016
作者: Wang Z. H.; Liu, L. Y.

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收藏 | 浏览/下载：26/0 | 提交时间：2017/11/09

Aerial image bidirectional reflectance distribution function (BRDF) correction multiple-flightline semiempirical kernel-based model heihe river-basin hyperspectral data reflectance vegetation products mosaics brdf surface aviris china

Correcting Bidirectional Effect for Multiple-Flightline Aerial Images Using a Semiempirical Kernel-Based Model SCI/SSCI论文 OAI收割
2016
作者: Wang Z. H.; Liu, L. Y.; Wang, W.

收藏 | 浏览/下载：31/0 | 提交时间：2016/12/16

Aerial image bidirectional reflectance distribution function (BRDF) correction multiple-flightline semiempirical kernel-based model heihe river-basin hyperspectral data reflectance vegetation products mosaics brdf surface aviris china

Trajectory tracking control for mobile robot based on the fuzzy sliding mode (EI CONFERENCE) 会议论文 OAI收割
10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China
Xie M.-J.; Li L.-T.; Wang Z.-Q.

收藏 | 浏览/下载：26/0 | 提交时间：2013/03/25

The trajectory tracking control problem of the uncertain mobile robot with nonholonomic constraints is analyzed. Sliding mode control is presented based on the kinematics models analysis. Switching function of sliding model control is designed according to back-stepping method. Trending law control is selected to improve the system dynamic performance. In order to solve the constant speed problem caused by conventional trending law control fuzzy control is used to adjust trending speed in the real time. The simulation results demonstrate that the fuzzy sliding mode controller improves the rapidity of trajectory tracking and reduces the tracking error and the chattering of the control output. 2012 IEEE.

Tracking error modeling of the theodolite based on GRNN method (EI CONFERENCE) 会议论文 OAI收割
2nd International Conference on Frontiers of Manufacturing and Design Science, ICFMD 2011, December 11, 2011 - December 13, 2011, Taichung, Taiwan
作者: Li M.

收藏 | 浏览/下载：24/0 | 提交时间：2013/03/25

To meet the requirement of high tracking accuracy as well as develop more reasonable evaluation method in this paper the General Regression Neural Network (GRNN) has been applied to build the tracking error model of the theodolite. First we analyze the nonlinear factors in the theodolite. Second we discuss the principle of GRNN including its structure the function as well as its priors. Third we build the tracking error model based on GRNN and verify the model through the different parameters. The result indicated that the network model based on GRNN has high accuracy and good generalization ability. It could instead the real system to a certain extent. The research in this paper has important value to the engineering practice.

PID control of glucose concentration in subjects with type 1 diabetes based on a simplified model: An in silico trial (EI CONFERENCE) 会议论文 OAI收割
10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China
作者: Yu L.

收藏 | 浏览/下载：29/0 | 提交时间：2013/03/25

An artificial pancreas system (APS) mimics the function of a real pancreas through monitoring a diabetic's blood glucose and administering the right dose of insulin via an automatic control loop. It is hailed as a promising cure of diabetes though this technology is still years away from commercial use due to a few technological bottlenecks. The simulation model of insulin-glucose metabolism of type 1 diabetes mellitus (T1DM) is an essential part of APS. In order to simplify the parameter identification task so that the model can be implemented electronically with ease this paper presents a simplified model based on Routh approximation model reduction method. The results show that the approximation error between the simplified model and the original model is so small that can be neglected. Based on the simplified model a PID controller is designed to maintain normoglycemia (90mg/dl) in subjects with T1DM. The in silico simulation results show that the glucose concentration is controlled well the risk of hyperglycemia and hypoglycemia is reduced a lot. This suggests that the simplified model describes the insulin-glucose metabolism process accurately and the PID control algorithm is well-suitable to guide the further development of an APS. 2012 IEEE.