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Nonlinear random vibrations of moored floating structures under seismic and sea wave excitations Journal article
Marine Structures, 2019,Volume: 65,Page: 75-93
Authors:  Wang K.;  Er G.-K.;  Iu V.P.
Favorite  |  View/Download:8/0  |  Submit date:2019/02/12
Cable element  Connection conditions  Random vibration  Sea wave excitation  Seismic ground motion  
Sine Chaotification Model for Enhancing Chaos and Its Hardware Implementation Journal article
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019,Volume: 66,Issue: 2,Page: 1273-1284
Authors:  Hua, Zhongyun;  Zhou, Binghang;  Zhou, Yicong
Favorite  |  View/Download:47/0  |  Submit date:2018/10/30
Chaotic System  Chaotification  Chaos-based Application  Cryptography  Field-programmable Gate Array (Fpga) Implementation  Nonlinear Control  
Simplification of finite element modeling for plates structures with constrained layer damping by using single-layer equivalent material properties Journal article
Composites. Part B, Engineering, 2019,Volume: 157,Page: 283-288
Authors:  Jing Zhao;  Pak Kin Wong;  Xinbo Ma;  Zhengchao Xie;  Jun Xu;  V.A. Cristino
Favorite  |  View/Download:6/0  |  Submit date:2019/01/17
Finite Element Modeling  Simplified Single-layer Equivalent Modeling  Equivalent Material Properties  Constrained Layer Damping Plate  
Cooperation Control of Under-actuated Mobile Robots with RBF-NN Approximator Conference paper
2018 International Automatic Control Conference (CACS), Taoyuan, Taiwan, 2018-11
Authors:  Yu Z.;  Wong S.F.
Favorite  |  View/Download:4/0  |  Submit date:2019/03/28
Cooperation Control  Lyapunov Direct Method  Rbf Neural Networks  Tracking Control Algorithm  Underactuated Mobile Robot  
Fuzzy adaptive finite-time control design for nontriangular stochastic nonlinear systems Journal article
IEEE Transactions on Fuzzy Systems, 2019,Volume: 27,Issue: 1,Page: 172-184
Authors:  Sui S.;  Chen C.L.P.;  Tong S.
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Multiple-input and multiple-output (MIMO) stochastic nonlinear systems  nontriangular form  state filter  stochastically finite-time control  
Optimization of hydrogen yield of a high-temperature electrolysis system with coordinated temperature and feed factors at various loading conditions: A model-based study Journal article
APPLIED ENERGY, 2018,Volume: 232,Page: 368-385
Authors:  Xing, Xuetao;  Lin, Jin;  Song, Yonghua;  Hu, Qiang;  Zhou, You;  Mu, Shujun
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High-temperature electrolysis  System optimization  Auxiliaries coordination  Optimal operating state  
Finite-Time Filter Decentralized Control for Nonstrict-Feedback Nonlinear Large-Scale Systems Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 6,Page: 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  
Neural-Dynamic Optimization-Based Model Predictive Control for Tracking and Formation of Nonholonomic Multirobot Systems Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 12,Page: 6113-6122
Authors:  Li, Zhijun;  Yuan, Wang;  Chen, Yao;  Ke, Fan;  Chu, Xiaoli;  Chen, C. L. Philip
Favorite  |  View/Download:2/0  |  Submit date:2019/01/17
Formation control  multiple mobile robots  neural-dynamic optimization  nonlinear model predictive control (NMPC)  
Neural-dynamic optimization-based model predictive control for tracking and formation of nonholonomic multirobot systems Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2018,Volume: 29,Issue: 12,Page: 6113-6122
Authors:  Li Z.;  Yuan W.;  Chen Y.;  Ke F.;  Chu X.;  Chen C.L.P.
Favorite  |  View/Download:1/0  |  Submit date:2019/02/11
Formation control  multiple mobile robots  neural-dynamic optimization  nonlinear model predictive control (NMPC)  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 5,Page: 2719-2731
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
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Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)