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Ultimately Bounded Output Feedback Control for Networked Nonlinear Systems With Unreliable Communication Channel: A Buffer-Aided Strategy 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1566-1578
Authors:  Yuhan Zhang;  Zidong Wang;  Lei Zou;  Yun Chen;  Guoping Lu
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Buffer-aided strategy  neural networks  nonlinear control  output-feedback control  unreliable communication channel  
基于脑脉冲序列的离散时间动态系统学习控制研究 学位论文
, 2024
Authors:  韩立元
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离散时间动态系统  脑脉冲序列  脉冲自适应动态规划  脉冲神经网络  多尺度动力学  脑机接口  
融合自适应评判的随机系统数据驱动策略优化 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 5, 页码: 980-990
Authors:  王鼎;  王将宇;  乔俊飞
Adobe PDF(2044Kb)  |  Favorite  |  View/Download:25/12  |  Submit date:2024/05/30
自适应评判设计  数据驱动  离散系统  神经网络  Q-learning  随机最优控制  
Policy Iteration Algorithm for Constrained Cost Optimal Control of Discrete-Time Nonlinear System 会议论文
, Shenzhen, China, 2021.7.18-22
Authors:  Li, Tao;  Wei, Qinglai;  Li, Hongyang;  Song, Ruizhuo
Adobe PDF(920Kb)  |  Favorite  |  View/Download:28/12  |  Submit date:2024/05/28
Spiking Adaptive Dynamic Programming with Poisson Process 会议论文
, 中国山东省青岛市, 2021-07-18
Authors:  Wei QL(魏庆来);  Han LY(韩立元);  Zhang TL(张铁林)
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A New Constrained Cost Value Iteration for Optimal Control of Discrete-Time Nonlinear Systems 会议论文
, Beijing, China, 2021.10.22-24
Authors:  Li, Tao;  Wei, Qinglai
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Constrained-cost adaptive dynamic programming for optimal control of discrete-time nonlinear systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 卷号: 35, 期号: 3, 页码: 3251 - 3264
Authors:  Wei, Qinglai;  Li, Tao
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Adaptive dynamic programming  approximate dynamic programming  constrained cost  optimal control  reinforcement learning  
面向平行交通系统的城市交通控制基础模型关键技术 学位论文
, 2024
Authors:  赵宸
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平行交通系统  交通控制  平行学习  强化学习  基础模型  
Guaranteed Cost Attitude Tracking Control for Uncertain Quadrotor Unmanned Aerial Vehicle Under Safety Constraints 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1447-1457
Authors:  Qian Ma;  Peng Jin;  Frank L. Lewis
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Attitude tracking control  quadrotor unmanned aerial vehicle (QUAV)  reinforcement learning  safety constraints  uncertain disturbances  
基于折扣广义值迭代的智能最优跟踪及应用验证 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 1, 页码: 182-193
Authors:  王鼎;  赵明明;  哈明鸣;  乔俊飞
Adobe PDF(2055Kb)  |  Favorite  |  View/Download:14/6  |  Submit date:2024/05/20
自适应评判控制  可容许性  广义值迭代  智能最优跟踪  神经网络