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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
Authors:  Liu, Yan-Jun;  Li, Shu;  Tong, Shaocheng;  Chen, C. L. Philip
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Discrete-time systems  neural networks (NNs)  nonlinear systems  optimal control  reinforcement learning  
Fuzzy Adaptive Finite-Time Control Design for Nontriangular Stochastic Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 卷号: 27, 期号: 1, 页码: 172-184
Authors:  Sui, Shuai;  Chen, C. L. Philip;  Tong, Shaocheng
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Multiple-input and multiple-output (MIMO) stochastic nonlinear systems  nontriangular form  state filter  stochastically finite-time control  
Finite-Time Filter Decentralized Control for Nonstrict-Feedback Nonlinear Large-Scale Systems 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 卷号: 26, 期号: 6, 页码: 3289-3300
Authors:  Sui, Shuai;  Tong, Shaocheng;  Chen, C. L. Philip
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Backstepping technique  filter state observer  finite time  nonlinear large-scale systems  nonstrict-feedback form  
Adaptive Inverse Control of Cable-Driven Parallel System Based on Type-2 Fuzzy Logic Systems 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2015, 卷号: 23, 期号: 5, 页码: 1803-1816
Authors:  Wang, Tiechao;  Tong, Shaocheng;  Yi, Jianqiang;  Li, Hongyi
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Adaptive Inverse Control  Cable-driven Parallel System  Fuzzy Nonlinear Autoregressive Exogenous (Narx) Model  Type-2 Fuzzy Logic Systems