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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：238/0  |  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  
Generative and Discriminative Fuzzy Restricted Boltzmann Machine Learning for Text and Image Classification 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 2237-2248
作者:  Chen, C. L. Philip;  Feng, Shuang
收藏  |  浏览/下载：198/0  |  提交时间：2020/06/22
Data models  Training  Neurons  Image reconstruction  Feature extraction  Computational modeling  Cybernetics  Discriminative learning  fuzzy number  Gaussian fuzzy restricted Boltzmann machine (GFRBM)  image classification  
Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 414-424
作者:  Feng, Shuangg;  Chen, C. L. Philip
收藏  |  浏览/下载：192/0  |  提交时间：2020/03/30
Broad learning system (BLS)  classification  k-means  regression  Takagi-Sugeno (TS) fuzzy system  
Adaptive Neural Network Control for Active Suspension Systems With Time-Varying Vertical Displacement and Speed Constraints 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 12, 页码: 9458-9466
作者:  Liu, Yan-Jun;  Zeng, Qiang;  Tong, Shaocheng;  Chen, C. L. Philip;  Liu, Lei
收藏  |  浏览/下载：251/0  |  提交时间：2019/12/16
Active suspension systems (ASSs)  adaptive control  barrier Lyapunov function (BLF)  neural networks (NNs)  
Adaptive output-feedback finite-time stabilisation of stochastic non-linear systems with application to a two-stage chemical reactor 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 4, 页码: 534-542
作者:  Sui, Shuai;  Chen, C. L. Philip
收藏  |  浏览/下载：234/0  |  提交时间：2019/07/12
chemical reactors  stochastic systems  control system synthesis  feedback  differential equations  adaptive control  uncertain systems  observers  stochastic processes  nonlinear control systems  stability  fuzzy control  control nonlinearities  probability  adaptive output-feedback finite-time stabilisation  two-stage chemical reactor  uncertain stochastic nonlinear system  unmeasured system variables  fuzzy logic systems  fuzzy state observer  stochastic differential equation  adaptive backstepping intelligent control  two-stage continuous stirred tank reactor process  controller design  single-input single-output system  SISO  probability  
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：207/0  |  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：249/0  |  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：222/0  |  提交时间：2019/12/16
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)