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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：202/0  |  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  
Optimal Formation of Multirobot Systems Based on a Recurrent Neural Network 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 2, 页码: 322-333
作者:  Wang, Yunpeng;  Cheng, Long;  Hou, ZengGuang;  Yu, Junzhi;  Tan, Min
浏览  |  Adobe PDF(2069Kb)  |  收藏  |  浏览/下载：362/95  |  提交时间：2016/06/14
Combinational Optimization Problem  Multirobot System  Optimal Formation  Recurrent Neural Network  Shape Theory  
Multiple Actor-Critic Structures for Continuous-Time Optimal Control Using Input-Output Data 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 4, 页码: 851-865
作者:  Song, Ruizhuo;  Lewis, Frank;  Wei, Qinglai;  Zhang, Hua-Guang;  Jiang, Zhong-Ping;  Levine, Dan;  Qinglai Wei
浏览  |  Adobe PDF(3455Kb)  |  收藏  |  浏览/下载：408/176  |  提交时间：2015/09/21
Actor-critic  Approximate Dynamic Programming (Adp)  Category  Optimal Control  Shunting Inhibitory Artificial Neural Network (Siann)  
Decentralized Stabilization for a Class of Continuous-Time Nonlinear Interconnected Systems Using Online Learning Optimal Control Approach 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 2, 页码: 418-428
作者:  Liu, Derong;  Wang, Ding;  Li, Hongliang
Adobe PDF(1311Kb)  |  收藏  |  浏览/下载：277/104  |  提交时间：2015/08/12
Adaptive Dynamic Programming  Decentralized Control  Large-scale Systems  Neural Networks  Nonlinear Interconnected Systems  Optimal Control  Policy Iteration  Reinforcement Learning