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Appointed-Time Control for Flexible Hypersonic Vehicles with Conditional Disturbance Negation 期刊论文
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2023, 卷号: 59, 期号: 5, 页码: 6327-6345
作者:  Sun, Jinlin;  Pu, Zhiqiang;  Chang, Yafei;  Ding, Shihong;  Yi, Jianqiang
收藏  |  浏览/下载：17/0  |  提交时间：2024/02/22
Vehicle dynamics  Convergence  Control systems  Aerodynamics  Closed loop systems  Actuators  Mathematical models  Appointed-time control  conditional disturbance negation  hypersonic vehicle  input saturation  prescribed performance control  
Attention Enhanced Reinforcement Learning for Multi agent Cooperation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Pu, Zhiqiang;  Wang, Huimu;  Liu, Zhen;  Yi, Jianqiang;  Wu, Shiguang
Adobe PDF(2967Kb)  |  收藏  |  浏览/下载：295/41  |  提交时间：2022/06/06
Training  Reinforcement learning  Games  Scalability  Task analysis  Standards  Optimization  Attention mechanism  deep reinforcement learning (DRL)  graph convolutional networks  multi agent systems  
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：255/54  |  提交时间：2022/04/02
Adaptive fuzzy control  fixed-time control  input saturation  nonstrict-feedback systems  time-varying constraints  
Attention enhanced reinforcement learning for multi-agent cooperation 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 期号: 2022, 页码: 1-15
作者:  Zhiqiang Pu;  Huimu Wang;  Zhen Liu;  Jianqiang Yi;  Shiguang Wu
Adobe PDF(2967Kb)  |  收藏  |  浏览/下载：204/37  |  提交时间：2022/04/02
Attention mechanism  deep reinforcement learning (DRL)  graph convolutional networks  multi agent systems  
Multi-Agent Cognition Difference Reinforcement Learning for MultiAgent Cooperation 会议论文
, 线上, 2021-07
作者:  Huimu, Wang;  Tenghai, Qiu;  Zhen, Liu;  Zhiqiang, Pu;  Jianqiang, Yi;  Wanmai Yuan
Adobe PDF(478Kb)  |  收藏  |  浏览/下载：261/54  |  提交时间：2021/06/24
Multi-Agent Hierarchical Cognition Difference Policy for Multi-Agent Cooperation 期刊论文
Algorithms, 2021, 期号: 14, 页码: 98
作者:  Huimu Wang;  Zhen Liu;  Jianqiang Yi;  Zhiqiang Pu
Adobe PDF(1155Kb)  |  收藏  |  浏览/下载：230/46  |  提交时间：2021/06/24
multiagent system  deep reinforcement learning  variational autoencoder  attention mechanism  
Formation control with collision avoidance through deep reinforcement learning using model-guided demonstration 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2021, 卷号: 32, 期号: 6, 页码: 2358-2372
作者:  Zezhi Sui;  Zhiqiang Pu;  Jianqiang Yi;  Shiguang Wu
Adobe PDF(5344Kb)  |  收藏  |  浏览/下载：219/73  |  提交时间：2022/04/02
Collision avoidance  deep reinforcement learning (DRL)  formation control  leader–follower  
Fixed-Time Sliding Mode Disturbance Observer-Based Nonsmooth Backstepping Control for Hypersonic Vehicles 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 11, 页码: 4377-4386
作者:  Sun, Jinlin;  Yi, Jianqiang;  Pu, Zhiqiang;  Tan, Xiangmin
Adobe PDF(3197Kb)  |  收藏  |  浏览/下载：246/0  |  提交时间：2021/01/07
Backstepping  Disturbance observers  Backstepping  finite-time control  fixed-time observer  
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：190/0  |  提交时间：2021/01/07
Backstepping  Adaptive fuzzy control  Fuzzy logic  finite-time control  fixed-time state observer  
Fixed-Time Control With Uncertainty and Measurement Noise Suppression for Hypersonic Vehicles via Augmented Sliding Mode Observers 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 2, 页码: 1192-1203
作者:  Sun, Jinlin;  Pu, Zhiqiang;  Yi, Jianqiang;  Liu, Zhen
Adobe PDF(3825Kb)  |  收藏  |  浏览/下载：201/0  |  提交时间：2020/06/02
Fixed-time control  nonsmooth backstepping  sliding mode observer (SMO)  uncertainty estimation