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A Fuzzy Deep Model Based on Fuzzy Restricted Boltzmann Machines for High-Dimensional Data Classification 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 7, 页码: 1344-1355
作者:  Feng, Shuang;  Chen, C. L. Philip;  Zhang, Chun-Yang
收藏  |  浏览/下载：234/0  |  提交时间：2020/08/03
Data models  Training  Training data  Fuzzy neural networks  Databases  Neural networks  Classification  fuzzy deep model  fuzzy restricted Boltzmann machine (FRBM)  hybrid 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
作者:  Sui, Shuai;  Chen, C. L. Philip;  Tong, Shaocheng
收藏  |  浏览/下载：203/0  |  提交时间：2019/07/12
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
作者:  Sui, Shuai;  Tong, Shaocheng;  Chen, C. L. Philip
收藏  |  浏览/下载：247/0  |  提交时间：2019/07/12
Backstepping technique  filter state observer  finite time  nonlinear large-scale systems  nonstrict-feedback form  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 卷号: 26, 期号: 5, 页码: 2719-2731
作者:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
收藏  |  浏览/下载：220/0  |  提交时间：2019/12/16
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)