ITERATIVE

作品数:554被引量:833H指数:10
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A Dense Feature Iterative Fusion Network for Extracting Building Contours from Remote Sensing Imagery
《Journal of Donghua University(English Edition)》2024年第6期654-661,共8页WU Jiangyan WANG Tong 
National Natural Science Foundation of China(No.61903078);Fundamental Research Funds for the Central Universities,China(No.2232021A-10);Shanghai Sailing Program,China(No.22YF1401300);Natural Science Foundation of Shanghai,China(No.20ZR1400400)。
Extracting building contours from aerial images is a fundamental task in remote sensing.Current building extraction methods cannot accurately extract building contour information and have errors in extracting small-sc...
关键词:remote sensing image building contour extraction feature iteration 
Data-Driven Active Disturbance Rejection Control of Plant-Protection Unmanned Ground Vehicle Prototype: A Fuzzy Indirect Iterative Learning Approach
《IEEE/CAA Journal of Automatica Sinica》2024年第8期1892-1894,共3页Tao Chen Ruiyuan Zhao Jian Chen Zichao Zhang 
supported by the National Key R&D Program of China(2022YFD2001405);the National Natural Science Foundation of China(51979275);the Open Project Program of Key Laboratory of Smart Agricultural Technology in Tropical South China,Ministry of Agriculture and Rural Affairs,China(HNZHNY-KFKT-202202);the 2115 Talent Development Program of China Agricultural University.
Dear Editor,This letter proposes a fuzzy indirect iterative learning(FIIL)active disturbance rejection control(ADRC)scheme to address the impact of uncertain factors of plant-protection unmanned ground vehicle(UGV),in...
关键词:Active scheme ITERATIVE 
Real-Time Iterative Compensation Framework for Precision Mechatronic Motion Control Systems被引量:2
《IEEE/CAA Journal of Automatica Sinica》2022年第7期1218-1232,共15页Chuxiong Hu Ran Zhou Ze Wang Yu Zhu Masayoshi Tomizuka 
This work was supported in part by the National Nature Science Foundation of China(51922059);in part by the Beijing Natural Science Foundation(JQ19010);in part by the China Postdoctoral Science Foundation(2021T140371).
With regard to precision/ultra-precision motion systems,it is important to achieve excellent tracking performance for various trajectory tracking tasks even under uncertain external disturbances.In this paper,to overc...
关键词:Precision motion control prediction model real-time iterative compensation trajectory tracking 
Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control被引量:9
《IEEE/CAA Journal of Automatica Sinica》2022年第7期1262-1272,共11页Mingming Ha Ding Wang Derong Liu 
This work was supported in part by Beijing Natural Science Foundation(JQ19013);the National Key Research and Development Program of China(2021ZD0112302);the National Natural Science Foundation of China(61773373).
The core task of tracking control is to make the controlled plant track a desired trajectory.The traditional performance index used in previous studies cannot eliminate completely the tracking error as the number of t...
关键词:Adaptive critic design adaptive dynamic programming(ADP) approximate dynamic programming discrete-time nonlinear systems reinforcement learning stability analysis tracking control value iteration(VI) 
基于信息共享搜索策略的自适应灰狼算法研究被引量:4
《电光与控制》2022年第7期22-28,共7页吴昌友 付熙松 裴均珂 
国家自然科学基金(41601593);山东省社科项目(13DGLJ05);山东省软科学项目(2014RKB01021)。
针对基础灰狼优化(GWO)算法种群多样性不足和易陷入局部最优的缺点,从混沌初始化和种群间信息共享两个角度,提出一种基于信息共享搜索策略的改进灰狼优化(ISIAGWO)算法。首先,使用Iterative混沌映射初始化种群保证种群的多样性,并引入...
关键词:灰狼优化算法 信息共享搜索策略 自适应算子 Iterative映射 旅行商问题 
Fault estimation based on high order iterative learning scheme for systems subject to nonlinear uncertainties
《Science China(Information Sciences)》2022年第7期257-258,共2页Li FENG Shuiqing XU Ke ZHANG Yi CHAI Darong HUANG 
supported by National Natural Science Foundation of China (Grant Nos. 61803055,61803140, 61573076, 61633005, 61673076);Technology Research Program of Chongqing Municipal Education Commission(Grant No. KJQN201800720);Natural Science Foundation of Chongqing (Grant No. cstc2019jcyjmsxm X0222);Fundamental Research Funds for the Central Universities (Grant Nos.JZ2019HGTB0090, JZ2019HGTB0073);Opening Foundation of the State Key Laboratory of Traction Power (Grant No.TPL1908)。
Dear editor, Due to the high load and continuous work, some equipment such as sensors and actuators in the system will inevitably degrade as the aging time increases. Also, they may evolve into faults causing the decl...
关键词:system estimation ITERATIVE 
Iterative-Reweighting-Based Robust Iterative-Closest-Point Method
《Journal of Shanghai Jiaotong university(Science)》2021年第5期739-746,共8页ZHANG Jianlin ZHOU Xuejun YANG Ming 
the National Natural Science Foundation of China(No.U1764264)。
In point cloud registration applications,noise and poor initial conditions lead to many false matches.False matches significantly degrade registration accuracy and speed.A penalty function is adopted in many robust po...
关键词:point cloud registration iterative reweighting iterative closest-point(ICP) robust localization 
An iterative learning method for realizing accurate dynamic feedforward control of an industrial hybrid robot被引量:6
《Science China(Technological Sciences)》2021年第6期1177-1188,共12页WU Jun ZHANG BinBin WANG LiPing YU Guang 
the National Key Research and Development Program of China(Grant No.2017YFE0111300);EU H2020-MSCA-RISEECSASDPE(Grant No.734272);the National Natural Science Foundation of China(Grant No.51975321)。
Feedforward control based on an accurate dynamic model is an effective approach to reduce the dynamic effect of the robot and improve its performance. However, due to the complicated work environment with considerable...
关键词:hybrid robot feedforward control iterative learning control parameters design industrial control system 
Iterative assist-as-needed control with interaction factor for rehabilitation robots被引量:4
《Science China(Technological Sciences)》2021年第4期836-846,共11页CAO Ran CHENG Long YANG ChenGuang DONG Zhe 
supported by the National Natural Science Foundation of China (Grant Nos. U1913209, 61873268, 62025307);the Beijing Municipal Natural Science Foundation (Grant No. JQ19020)。
Rehabilitation robots for stroke patients have drawn considerable attention because they can reduce the economic and labor costs brought by traditional rehabilitation. Control methods for rehabilitation robots have be...
关键词:human-robot interaction IMPEDANCE STIFFNESS CONTROL REHABILITATION 
Force tracking impedance control with unknown environment via an iterative learning algorithm被引量:10
《Science China(Information Sciences)》2019年第5期47-49,共3页Xiuquan LIANG Huan ZHAO Xiangfei LI Han DING 
supported by National Key Research and Development Program of China (Grant No. 2017YFB1303401);National Natural Science Foundation of China (Grant Nos. 91748114, 51535004, 51705175)
Dear editor,Force tracking control is important for constrained operations. In recent years, impedance control is garnering increasing attention in robot force control. A new two-phase impedance function through null ...
关键词:FORCE tracking IMPEDANCE control with UNKNOWN environment VIA AN ITERATIVE learning algorithm 
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