CASIA OpenIR

浏览/检索结果: 共16条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
A Collision-Free Planning and Control Framework for a Biomimetic Underwater Vehicle in Dynamic Environments 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 卷号: 28, 期号: 3, 页码: 1415 - 1424
作者:  Lv, Jiaqi;  Wang, Yu;  Wang, Shuo;  Bai, Xuejian;  Wang, Rui;  Tan, Min
Adobe PDF(3810Kb)  |  收藏  |  浏览/下载:334/68  |  提交时间:2023/02/22
Arctangent nonsingularity terminal sliding mode (ANTSM) control  biomimetic underwater vehicle (BUV)  collision-free in dynamic environments  fuzzy artificial potential field (FAPF) planning  robots  
A novel event-triggered adaptive tracking control framework for a manipulator with aperiodic neural network estimation 期刊论文
Assembly Automation, 2022, 页码: 1-16
作者:  Gao jie
Adobe PDF(2045Kb)  |  收藏  |  浏览/下载:231/80  |  提交时间:2022/06/14
Fixed-Time Adaptive Fuzzy Control for Uncertain Nonstrict-Feedback Systems with Time-Varying Constraints and Input Saturations 期刊论文
IEEE Transactions on Fuzzy Systems, 2022, 卷号: 30, 期号: 4, 页码: 1114-1128
作者:  Jinlin Su;  Jianqiang Yi;  Zhiqiang Pu
Adobe PDF(1378Kb)  |  收藏  |  浏览/下载:264/56  |  提交时间:2022/04/02
Adaptive fuzzy control  fixed-time control  input saturation  nonstrict-feedback systems  time-varying constraints  
Adaptive Fuzzy Nonsmooth Backstepping Output-Feedback Control for Hypersonic Vehicles With Finite-Time Convergence 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 10, 页码: 2320-2334
作者:  Sun, Jinlin;  Yi, Jianqiang;  Pu, Zhiqiang;  Liu, Zhen
Adobe PDF(3972Kb)  |  收藏  |  浏览/下载:197/0  |  提交时间:2021/01/07
Backstepping  Adaptive fuzzy control  Fuzzy logic  finite-time control  fixed-time state observer  
Cross-modality interactive attention network for multispectral pedestrian detection 期刊论文
INFORMATION FUSION, 2019, 期号: 50, 页码: 20-29
作者:  Zhang, Lu;  Liu, Zhiyong;  Zhang, Shifeng;  Yang, Xu;  Qiao, Hong;  Huang, Kaizhu;  Hussain, Amir
浏览  |  Adobe PDF(2952Kb)  |  收藏  |  浏览/下载:450/68  |  提交时间:2019/07/11
Pedestrian detection  Modality fusion  Cross-modality attention  Deep neural networks  
Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties 期刊论文
INFORMATION SCIENCES, 2018, 卷号: 463, 页码: 307-322
作者:  Yang, Xiong;  He, Haibo;  Wei, Qinglai;  Luo, Biao
收藏  |  浏览/下载:194/0  |  提交时间:2018/10/10
Adaptive Dynamic Programming  Neural Networks  Optimal Control  Reinforcement Learning  Robust Control  Unmatched Uncertainty  
An adaptive critic approach to event-triggered robust control of nonlinear systems with unmatched uncertainties 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2018, 卷号: 28, 期号: 10, 页码: 3501-3519
作者:  Yang, Xiong;  He, Haibo;  Wei, Qinglai
收藏  |  浏览/下载:177/0  |  提交时间:2018/10/10
Adaptive Critic Approach  Event-triggered Control  Reinforcement Learning  Robust Control  Unmatched Uncertainty  
Observer-based robust adaptive T2 fuzzy tracking control for flexible air-breathing hypersonic vehicles 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2018, 卷号: 12, 期号: 8, 页码: 1036-1045
作者:  Liu, Yifan;  Pu, Zhiqiang;  Yi, Jianqiang
Adobe PDF(2668Kb)  |  收藏  |  浏览/下载:414/153  |  提交时间:2018/06/07
Hypersonic Vehicle  Output Feedback Control  Type-2 Fuzzy System  Linear Matrix Inequality  
Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 1, 页码: 37-50
作者:  Zhang, Qichao;  Zhao, Dongbin;  Wang, Ding
浏览  |  Adobe PDF(2233Kb)  |  收藏  |  浏览/下载:532/242  |  提交时间:2017/05/04
Adaptive Dynamic Programming (Adp)  Event-based Control  Neural Network (Nn)  Robust Control  Unmatched Uncertainties  
Adaptive tracking control for a class of continuous-time uncertain nonlinear systems using the approximate solution of HJB equation 期刊论文
NEUROCOMPUTING, 2017, 卷号: 260, 页码: 432-442
作者:  Mu, Chaoxu;  Sun, Changyin;  Wang, Ding;  Song, Aiguo
Adobe PDF(1555Kb)  |  收藏  |  浏览/下载:416/159  |  提交时间:2017/09/12
Adaptive Tracking Control  Hamilton-jacobi-bellman (Hjb) Equation  Adaptive Dynamic Programming (Adp)  Neural Networks  Uncertainties