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检索条件"机构=Key Lab of Autonomous Systems and Networked Control"
746 条 记 录,以下是211-220 订阅
排序:
Discrete time-variant nonlinear optimization and system solving via integral-type error function and twice ZND formula with noises suppressed
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SOFT COMPUTING 2018年 第21期22卷 7129-7141页
作者: Shi, Yang Zhang, Yunong Sun Yat Sen Univ Sch Informat Sci & Technol Guangzhou 510006 Guangdong Peoples R China Minist Educ Key Lab Autonomous Syst & Networked Control Guangzhou 510640 Guangdong Peoples R China SYSU CMU Shunde Int Joint Res Inst Foshan 528300 Peoples R China
In this paper, by using integral-type error function and twice zeroing neural-dynamics (or termed, Zhang neural-dynamics, ZND) formula, continuous-time advanced zeroing neural-dynamics (CT-AZND) model is proposed for ... 详细信息
来源: 评论
An enhanced kernel learning data-driven method for multiple fault detection and identification in industrial systems
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INFORMATION SCIENCES 2022年 615卷 431-448页
作者: Sun, Chengyuan Ma, Hongjun Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China South China Univ Technol Unmanned Aerial Vehicle Syst Engn Technol Res Ctr Sch Automat Sci & Engn Key Lab Autonomous Syst & Networked ControlMinist Guangzhou 510641 Peoples R China
Traditional fault detection methods focus mainly on a single abnormal condition of the sys-tem. However, successive multiple faults are more common than a single fault in industrial systems. Hence, this paper proposes... 详细信息
来源: 评论
Sine neural network (SNN) with double-stage weights and structure determination (DS-WASD)
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SOFT COMPUTING 2016年 第1期20卷 211-221页
作者: Zhang, Yunong Qu, Lu Liu, Jinrong Guo, Dongsheng Li, Mingming Sun Yat Sen Univ Sch Informat Sci & Technol Guangzhou 510006 Guangdong Peoples R China SYSU CMU Shunde Int Joint Res Inst Shunde 528300 Peoples R China Minist Educ Key Lab Autonomous Syst & Networked Control Guangzhou 510640 Guangdong Peoples R China
To solve complex problems such as multi-input function approximation by using neural networks and to overcome the inherent defects of traditional back-propagation neural networks, a single hidden-layer feed-forward si... 详细信息
来源: 评论
Personalized Variable Gain control With Tremor Attenuation for Robot Teleoperation
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IEEE TRANSACTIONS ON systems MAN CYBERNETICS-systems 2018年 第10期48卷 1759-1770页
作者: Yang, Chenguang Luo, Jing Pan, Yongping Liu, Zhi Su, Chun-Yi South China Univ Technol Coll Automat Sci & Engn Key Lab Autonomous Syst & Networked Control Guangzhou 510640 Guangdong Peoples R China Natl Univ Singapore Dept Biomed Engn Singapore 117583 Singapore Guangdong Univ Technol Sch Automat Guangzhou 510006 Guangdong Peoples R China
Teleoperated robot systems are able to support humans to accomplish their tasks in many applications. However, the performance of teleoperation largely depends on motor functionality and human operator's skill, es... 详细信息
来源: 评论
New Discrete-Time ZNN Models for Least-Squares Solution of Dynamic Linear Equation System With Time-Varying Rank-Deficient Coefficient
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING systems 2018年 第11期29卷 5767-5776页
作者: Qiu, Binbin Zhang, Yunong Yang, Zhi SYSU Sch Informat Sci & Technol Guangzhou 510006 Guangdong Peoples R China Minist Educ Key Lab Autonomous Syst & Networked Control Guangzhou 510640 Guangdong Peoples R China SYSU CMU Shunde Int Joint Res Inst Foshan 528300 Peoples R China Minist Educ Key Lab Machine Intelligence & Adv Comp Guangzhou 510006 Guangdong Peoples R China
In this brief, a new one-step-ahead numerical differentiation rule called six-instant g-cube finite difference (6IgCFD) formula is proposed for the first-order derivative approximation with higher precision than exist... 详细信息
来源: 评论
Neural network-based discrete-time Z-type model of high accuracy in noisy environments for solving dynamic system of linear equations
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NEURAL COMPUTING & APPLICATIONS 2018年 第11期29卷 1217-1232页
作者: Jin, Long Zhang, Yunong Qiu, Binbin Sun Yat Sen Univ Sch Informat Sci & Technol Guangzhou 510006 Guangdong Peoples R China SYSU CMU Shunde Int Joint Res Inst Foshan 528300 Peoples R China Minist Educ Key Lab Autonomous Syst & Networked Control Guangzhou 510640 Guangdong Peoples R China
To solve dynamic system of linear equations with square or rectangular system matrices in real time, a discrete-time Z-type model based on neural network is proposed and investigated. It is developed from and studied ... 详细信息
来源: 评论
Neural network-based sliding mode adaptive control for robot manipulators
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NEUROCOMPUTING 2011年 第14-15期74卷 2377-2384页
作者: Sun, Tairen Pei, Hailong Pan, Yongping Zhou, Hongbo Zhang, Caihong S China Univ Technol Minist Educ Key Lab Autonomous Syst & Networked Control Guangzhou 510640 Guangdong Peoples R China S China Univ Technol Sch Automat Guangzhou 510640 Guangdong Peoples R China Qingdao Univ Sci & Technol Sch Automat Qingdao 266042 Peoples R China
This paper addresses the robust trajectory tracking problem for a robot manipulator in the presence of uncertainties and disturbances. First, a neural network-based sliding mode adaptive control (NNSMAC), which is a c... 详细信息
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New Discrete-Time Models of Zeroing Neural Network Solving systems of Time-Variant Linear and Nonlinear Inequalities
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IEEE TRANSACTIONS ON systems MAN CYBERNETICS-systems 2020年 第2期50卷 565-576页
作者: Shi, Yang Zhang, Yunong Sun Yat Sen Univ Sch Informat Sci & Technol Guangzhou 510006 Peoples R China Minist Educ Key Lab Autonomous Syst & Networked Control Guangzhou 510640 Peoples R China SYSU CMU Shunde Int Joint Res Inst Foshan 528300 Peoples R China Minist Educ Key Lab Machine Intelligence & Adv Comp Guangzhou 510006 Peoples R China
In this paper, a new one-step-ahead numerical differentiation rule termed 5-instant discretization formula is proposed for the first-order derivative approximation with higher computational precision. Then, by exploit... 详细信息
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A novel redesign framework to extend the application scope of a class of disturbance-rejection algorithms
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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR control 2020年 第1期30卷 321-337页
作者: Yang, Hao Pei, Hailong South China Univ Technol Sch Automat Sci & Engn Guangzhou 510640 Guangdong Peoples R China South China Univ Technol Unmanned Aerial Vehicle Syst Engn Technol Res Ctr Minist Educ Key Lab Autonomous Syst & Networked Control Guangzhou 510640 Guangdong Peoples R China
In this paper, a novel redesign method is developed for a class of disturbance-rejection algorithms so that they can be applied to pure-feedback nonaffine-in-control nonlinear systems with matched and mismatched distu... 详细信息
来源: 评论
Robust wavelet network control for a class of autonomous vehicles to track environmental contour line
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NEUROCOMPUTING 2011年 第17期74卷 2886-2892页
作者: Sun, Tairen Pei, Hailong Pan, Yongping Zhang, Caihong S China Univ Technol Minist Educ Key Lab Autonomous Syst & Networked Control Guangzhou 510640 Guangdong Peoples R China S China Univ Technol Sch Automat Guangzhou 510640 Guangdong Peoples R China Qingdao Univ Sci & Technol Sch Automat Qingdao 266042 Peoples R China
We address the problem of environmental contour line tracking for a class of autonomous vehicles. A reference velocity is designed for the autonomous vehicles to do contour line tracking. Based on Lashall invariance p... 详细信息
来源: 评论