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Integrated Tracking Control of an Underwater Bionic Robot Based on Multimodal Motions 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 卷号: 54, 期号: 3, 页码: 1599-1610
作者:  Wang, Jian;  Wu, Zhengxing;  Zhang, Yang;  Kong, Shihan;  Tan, Min;  Yu, Junzhi
Adobe PDF(5090Kb)  |  收藏  |  浏览/下载：93/19  |  提交时间：2024/03/27
Disturbance observer (DOB)  fuzzy system  model predictive control (MPC)  tracking control  underwater bionic robot  
Adaptive Fuzzy Appointed-Time Control for Uncertain Systems Bounded by Positive Functions 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2023, 卷号: 70, 期号: 4, 页码: 1540-1544
作者:  Ding, Lihui;  Sun, Jinlin;  Ding, Shihong;  Pu, Zhiqiang;  Yi, Jianqiang
收藏  |  浏览/下载：190/0  |  提交时间：2023/11/17
Uncertainty  Fuzzy logic  Backstepping  Nonlinear systems  Lyapunov methods  Sun  Steady-state  Adaptive fuzzy control  appointed-time control  adaptive control  backstepping  barrier Lyapunov function  
Multiagent-Reinforcement-Learning-Based Stable Path Tracking Control for a Bionic Robotic Fish With Reaction Wheel 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 卷号: 70, 期号: 12, 页码: 12670-12679
作者:  Qiu, Changlin;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi
Adobe PDF(1587Kb)  |  收藏  |  浏览/下载：174/17  |  提交时间：2023/11/17
Multiagent reinforcement learning (MARL)  path tracking control  reaction wheel  robotic fish  underwater robot  
Distributed formation control for a multi-robotic fish system with model-based event-triggered communication mechanism 期刊论文
IEEE Transactions on Industrial Electronics, 2023, 卷号: 70, 期号: 11, 页码: 11433-11442
作者:  Dai, Shijie(戴时捷);  Zhengxing Wu;  Pengfei Zhang;  Min Tan;  Junzhi Yu
Adobe PDF(1210Kb)  |  收藏  |  浏览/下载：192/66  |  提交时间：2023/06/15
基于分布式协商的多无人机目标覆盖与连通保持算法 期刊论文
指挥与控制学报, 2022, 卷号: 8, 期号: 2, 页码: 9
作者:  陶忠良;  蒲志强;  王乐乐;  付清旭;  耿虎军
Adobe PDF(2704Kb)  |  收藏  |  浏览/下载：181/86  |  提交时间：2023/06/14
多无人机  多目标覆盖  ,连通保持  分布式协商  
Autonomous vision-based navigation and stability augmentation control of a biomimetic robotic hammerhead shark 期刊论文
IEEE Transactions on Automation Science and Engineering, 2023, 页码: 1-13
作者:  Yan, Shuaizheng;  Wang, Jian;  Wu, Zhengxing;  Tan, Min;  Yu, Junzhi
Adobe PDF(3384Kb)  |  收藏  |  浏览/下载：212/45  |  提交时间：2023/06/12
Robots  Navigation  Visualization  Fish  Biomimetics  Stability analysis  
Robot-Assisted Trans-Esophageal Ultrasound and the Virtual Admittance-Based Master-Slave Control Method Thereof 期刊论文
IEEE/ASME Transactions on Mechatronics, 2023, 页码: 在线发表
作者:  Xie Yiping(谢亿平);  Guo Jun(郭君);  Deng Zhaokun(邓兆锟);  Hou Xilong(侯西龙);  Housden James;  Rhode Kawal;  Liu Hongbin(刘宏斌);  Hou Zeng-Guang(侯增广);  Wang Shuangyi(王双翌)
Adobe PDF(2038Kb)  |  收藏  |  浏览/下载：301/83  |  提交时间：2023/05/31
Adaptive Fuzzy Asymptotic Tracking Control of State-Constrained High-Order Nonlinear Time-Delay Systems and Its Applications 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 3, 页码: 1671-1680
作者:  Wu, You;  Xie, Xue-Jun;  Hou, Zeng-Guang
收藏  |  浏览/下载：181/0  |  提交时间：2022/07/25
Adaptive fuzzy asymptotic tracking control  feasibility conditions  full-state constraints  high-order nonlinear time-delay systems  
Removing Feasibility Conditions on Adaptive Neural Tracking Control of Nonlinear Time-Delay Systems With Time-Varying Powers, Input, and Full-State Constraints 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 4, 页码: 2553-2564
作者:  Guo, Chao;  Xie, Xue-Jun;  Hou, Zeng-Guang
收藏  |  浏览/下载：401/0  |  提交时间：2022/06/10
Nonlinear systems  Time-varying systems  Control design  Adaptive systems  Delay effects  Artificial neural networks  Automation  Feasibility conditions  input and full-state constraints  neural networks (NNs)  nonlinear systems  time-varying powers  
Deep reinforcement learning based multi-target coverage with connectivity guaranteed 期刊论文
IEEE Transactions on Industrial Informatics, 2022, 期号: 2022, 页码: 1-12
作者:  Shiguang Wu;  Zhiqiang Pu;  Tenghai Qiu;  Jianqiang Yi;  Tianle Zhang
Adobe PDF(15731Kb)  |  收藏  |  浏览/下载：291/35  |  提交时间：2022/04/02
Multi-target coverage  multi-robot system  connectivity maintenance  deep reinforcement learning