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Event-Triggered-Based Consensus Neural Network Tracking Control for Nonlinear Pure-Feedback Multiagent Systems With Delayed Full-State Constraints 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 11
作者:  Wang, Xiao-An;  Zhang, Guang-Ju;  Niu, Ben;  Wang, Ding;  Wang, Xiao-Mei
收藏  |  浏览/下载：72/0  |  提交时间：2024/02/22
Nonlinear multiagent systems  delayed full state constraints  event-triggered design  asymptotic tracking control  adaptive control  
Adaptive Neural Control of Nonlinear Nonstrict Feedback Systems With Full-State Constraints: A Novel Nonlinear Mapping Method 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 9
作者:  Zhang, Jiaming;  Niu, Ben;  Wang, Ding;  Wang, Huanqing;  Duan, Peiyong;  Zong, Guangdeng
收藏  |  浏览/下载：221/0  |  提交时间：2022/01/27
Nonlinear systems  Artificial neural networks  Design methodology  Adaptive control  Time-varying systems  Fuzzy logic  Backstepping  Asymptotic tracking control  neural networks (NN)  nonlinear mapping (NM)  nonstrict feedback structure  time-varying full-state constraints  uncertain nonlinear system  
Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control for Nonlinear Systems With Full-State Constraints and Application to a Single-Link Robot 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:  Zhang, Jiaming;  Niu, Ben;  Wang, Ding;  Wang, Huanqing;  Zhao, Ping;  Zong, Guangdeng
收藏  |  浏览/下载：213/0  |  提交时间：2022/01/27
Artificial neural networks  Nonlinear systems  Control systems  Adaptive systems  Backstepping  Neurons  Task analysis  Asymptotic tracking control  barrier functions  full-state constraints  neural networks (NNs)  time-  event-triggered control  uncertain nonlinear systems  
Model-Free Optimal Control for Affine Nonlinear Systems With Convergence Analysis 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2015, 卷号: 12, 期号: 4, 页码: 1461-1468
作者:  Zhao, Dongbin;  Xia, Zhongpu;  Wang, Ding
浏览  |  Adobe PDF(1985Kb)  |  收藏  |  浏览/下载：365/95  |  提交时间：2015/11/12
Action Dependent Heuristic Dynamic Programming  Adaptive Dynamic Programming  Model-free Optimal Control  Neural Networks  Policy Iteration