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Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control of Nonlinear Interconnected Systems With Unmodeled Dynamics and Prescribed Performance 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:  Cheng, Ting-Ting;  Niu, Ben;  Zhang, Jia-Ming;  Wang, Ding;  Wang, Zhen-Hua
收藏  |  浏览/下载：266/0  |  提交时间：2022/01/27
Interconnected systems  Artificial neural networks  Closed loop systems  Multi-agent systems  Asymptotic stability  Switches  Stability criteria  Asymptotic tracking control  event-triggered control  neural networks (NNs)  nonlinear interconnected systems  prescribed performance control (PPC)  unmodeled dynamics  
Adaptive Neural Output-Feedback Control for a Class of Nonlower Triangular Nonlinear Systems With Unmodeled Dynamics 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 8, 页码: 3658-3668
作者:  Wang, Huanqing;  Liu, Peter Xiaoping;  Li, Shuai;  Wang, Ding
收藏  |  浏览/下载：180/0  |  提交时间：2019/12/16
Adaptive neural control  backstepping  nonlower triangular nonlinear systems  output-feedback control  
LMI Conditions for Global Stability of Fractional-Order Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 10, 页码: 2423-2433
作者:  Zhang, Shuo;  Yu, Yongguang;  Yu, Junzhi
浏览  |  Adobe PDF(3938Kb)  |  收藏  |  浏览/下载：495/178  |  提交时间：2017/01/23
Fractional Order  Generalized Projective Synchronization (Gps)  Linear Matrix Inequality (Lmi)  Neural Networks  Stability  
Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 2, 页码: 444-458
作者:  Wei, Qinglai;  Song, Ruizhuo;  Yan, Pengfei
浏览  |  Adobe PDF(2204Kb)  |  收藏  |  浏览/下载：412/137  |  提交时间：2016/06/14
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Neurodynamic Programming  Nonlinear Systems  Optimal Control  Recurrent Neural Network (Rnn)  Reinforcement Learning