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Velocity and input constrained distributed nash equilibrium seeking for multi-agent integrated game and control via event-triggered communication 期刊论文
NONLINEAR DYNAMICS, 2022, 卷号: 109, 页码: 2781-2798
作者:  Pu, Zhiqiang;  Ai, Xiaolin;  Yi, Jianqiang
Adobe PDF(1775Kb)  |  收藏  |  浏览/下载：271/32  |  提交时间：2022/07/25
Multi-agent systems  Integrated game and control  Velocity constraint  Input saturation  Event-triggered communication  
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：235/76  |  提交时间：2022/04/02
Collision avoidance  deep reinforcement learning (DRL)  formation control  leader–follower  
On the Principle and Applications of Conditional Disturbance Negation 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 11, 页码: 6757-6767
作者:  Pu, Zhiqiang;  Sun, Jinlin;  Yi, Jianqiang;  Gao, Zhiqiang
Adobe PDF(1523Kb)  |  收藏  |  浏览/下载：300/45  |  提交时间：2021/12/28
Observers  Couplings  Control design  Uncertainty  System dynamics  Analytical models  Sun  Conditional disturbance negation (CDN)  coupling  disturbance rejection  information-centric control  observer  
Advanced Quadrotor Takeoff Control Based on Incremental Nonlinear Dynamic Inversion and Integral Extended State Observer 会议论文
Proceedings of 2016 IEEE Chinese Guidance, Navigation and Control Conference, Nanjing , China, August 8 - August 12, 2016
作者:  Du, Han(杜晗);  Pu, Zhiqiang(蒲志强);  Yi, Jianqiang(易建强);  Qian, Hanbo(钱瀚博);  Zhiqiang Pu
浏览  |  Adobe PDF(1273Kb)  |  收藏  |  浏览/下载：369/143  |  提交时间：2017/05/08
Quadrotor  Incremental Nonlinear Dynamic Inversion  Integral Extended State Observer  
Integrated Cooperative Control Scheme for Multiple Quadrotors Based on Improved Adaptive Disturbance Rejection Control 会议论文
Proceedings of 2016 IEEE International Conference on Robotics and Biomimetics, Qingdao, China, Dec. 3 -Dec. 7, 2016
作者:  Han Du;  Zhiqiang Pu;  Jianqiang Yi
浏览  |  Adobe PDF(514Kb)  |  收藏  |  浏览/下载：294/72  |  提交时间：2016/11/08
Multiple Quadrotors  
Dynamics and GA-based stable control for a class of underactuated mechanical systems 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2008, 卷号: 6, 期号: 1, 页码: 35-43
作者:  Liu, Diantong;  Guo, Weiping;  Yi, Jianqiang
浏览  |  Adobe PDF(487Kb)  |  收藏  |  浏览/下载：228/69  |  提交时间：2015/11/08
Ga  Overhead Crane  Stable Control  System Dynamics  Underactuated Mechanical Systems  
Dynamics and GA-based stable control for a class of underactuated mechanical systems 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2008, 卷号: 6, 期号: 1, 页码: 35-43
作者:  Liu, Diantong;  Guo, Weiping;  Yi, Jianqiang
浏览  |  Adobe PDF(487Kb)  |  收藏  |  浏览/下载：201/64  |  提交时间：2015/11/08
Ga  Overhead Crane  Stable Control  System Dynamics  Underactuated Mechanical Systems  
Structure design of two types of sliding-mode controllers for a class of under-actuated mechanical systems 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2007, 卷号: 1, 期号: 1, 页码: 163-172
作者:  Wang, W.;  Liu, X. D.;  Yi, J. Q.
Adobe PDF(399Kb)  |  收藏  |  浏览/下载：234/75  |  提交时间：2015/11/08
Adaptive Controller Design for Uncertain Nonlinear Systems with Input Magnitude and Rate Limitations 会议论文
American Control Conference (ACC), San Francisco, CA, USA, 2011
作者:  Yuan, RY;  Yi, JQ;  Yu, WS;  Fan, GL
浏览  |  Adobe PDF(324Kb)  |  收藏  |  浏览/下载：204/63  |  提交时间：2015/08/19
Input Saturation  Rbf Neural Network  Adaptive Control  Nonlinear System  H∞ Control Performance  
Trajectory Tracking Control of Omnidirectional Wheeled Mobile Manipulators: Robust Neural Network-Based Sliding Mode Approach 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 卷号: 39, 期号: 3, 页码: 788-799
作者:  Xu, Dong;  Zhao, Dongbin;  Yi, Jianqiang;  Tan, Xiangmin
浏览  |  Adobe PDF(443Kb)  |  收藏  |  浏览/下载：253/91  |  提交时间：2015/08/12
Omnidirectional Mobile Manipulators  Robust Neural Network (Nn)  Sliding Mode Control (Smc)  Trajectory Tracking Control  Uncertainties