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Six-DOF Spacecraft Optimal Trajectory Planning and Real-Time Attitude Control: A Deep Neural Network-Based Approach 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 11, 页码: 5005-5013
作者:  Chai, Runqi;  Tsourdos, Antonios;  Savvaris, Al;  Chai, Senchun;  Xia, Yuanqing;  Chen, C. L. Philip
收藏  |  浏览/下载：227/0  |  提交时间：2021/01/06
Attitude control  Real-time systems  Trajectory optimization  Trajectory planning  Attitude control  bilevel structure  deep neural network (DNN)  six-degree-of-freedom (6-DOF) hypersonic vehicle (HV)  trajectory planning  
Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 3017-3031
作者:  Chu, Fei;  Liang, Tao;  Chen, C. L. Philip;  Wang, Xuesong;  Ma, Xiaoping
收藏  |  浏览/下载：250/0  |  提交时间：2020/09/07
Learning systems  Training  Heuristic algorithms  Neural networks  Automation  Process control  Control engineering  Broad learning system (BLS)  incremental learning algorithm  noise and outliers  weighted penalty factor  
Neural Adaptive Event-Triggered Control for Nonlinear Uncertain Stochastic Systems With Unknown Hysteresis 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 11, 页码: 3300-3312
作者:  Wang, Jianhui;  Liu, Zhi;  Zhang, Yun;  Chen, C. L. Philip
收藏  |  浏览/下载：261/0  |  提交时间：2020/03/30
Actuators  Hysteresis  Nonlinear systems  Artificial neural networks  Adaptive systems  Stochastic systems  System performance  Actuator failure  adaptive control  event-triggered  neural networks (NNs)  stochastic nonlinear systems  unknown direction hysteresis  
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 1, 页码: 10-24
作者:  Chen, C. L. Philip;  Liu, Zhulin
收藏  |  浏览/下载：205/0  |  提交时间：2019/12/16
Big data  big data modeling  broad learning system (BLS)  deep learning  incremental learning  random vector functional-link neural networks (RVFLNN)  single layer feedforward neural networks (SLFN)  singular value decomposition (SVD)  
Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 7, 页码: 2153-2162
作者:  Sui, Shuai;  Chen, C. L. Philip;  Tong, Shaocheng
收藏  |  浏览/下载：264/0  |  提交时间：2019/12/16
Common Lyapunov function  finite time  non-triangular structure  switched systems  
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 1, 页码: 295-305
作者:  Liu, Yan-Jun;  Li, Shu;  Tong, Shaocheng;  Chen, C. L. Philip
收藏  |  浏览/下载：309/0  |  提交时间：2019/07/12
Discrete-time systems  neural networks (NNs)  nonlinear systems  optimal control  reinforcement learning