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Adaptive nonparametric evolving fuzzy controller for uncertain nonlinear systems with dead zone Journal article
Yang, Zhao Xu, Yang, Zhi Xin, Rong, Hai Jun. Adaptive nonparametric evolving fuzzy controller for uncertain nonlinear systems with dead zone[J]. Evolving Systems, 2022, 13(5), 637-651.
Authors:  Yang, Zhao Xu;  Yang, Zhi Xin;  Rong, Hai Jun
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.7/2.8 | Submit date：2022/05/17
Backstepping  Data Clouds  Evolving Fuzzy System  Lyapunov  Uncertain Nonlinear Systems  
Disturbance Observer-Based Fuzzy Control of Uncertain MIMO Mechanical Systems With Input Nonlinearities and its Application to Robotic Exoskeleton Journal article
Chen, Ziting, Li, Zhijun, Chen, C. L. Philip. Disturbance Observer-Based Fuzzy Control of Uncertain MIMO Mechanical Systems With Input Nonlinearities and its Application to Robotic Exoskeleton[J]. IEEE TRANSACTIONS ON CYBERNETICS, 2017, 47(4), 984-994.
Authors:  Chen, Ziting;  Li, Zhijun;  Chen, C. L. Philip
Favorite | TC[WOS]:73 TC[Scopus]:83  IF:9.4/10.3 | Submit date：2018/10/30
Disturbance Observer  Fuzzy Logic System (Fls)  Input Nonlinearity  Robotic Exoskeleton  Uncertain Multi-input-multi-output (Mimo) System  
Disturbance Observer-Based Fuzzy Control of Uncertain MIMO Mechanical Systems with Input Nonlinearities and its Application to Robotic Exoskeleton Journal article
Chen Z., Li Z., Chen C.L.P.. Disturbance Observer-Based Fuzzy Control of Uncertain MIMO Mechanical Systems with Input Nonlinearities and its Application to Robotic Exoskeleton[J]. IEEE Transactions on Cybernetics, 2017, 47(4), 984-994.
Authors:  Chen Z.;  Li Z.;  Chen C.L.P.
Favorite | TC[WOS]:73 TC[Scopus]:83 | Submit date：2019/02/11
Disturbance Observer  Fuzzy Logic System (Fls)  Input Nonlinearity  Robotic Exoskeleton  Uncertain Multi-input-multi-output (Mimo) System  
Model falsification using set-valued observers for a class of discrete-time dynamic systems: A coprime factorization approach Journal article
Paulo Rosa, Carlos Silvestre, Michael Athans. Model falsification using set-valued observers for a class of discrete-time dynamic systems: A coprime factorization approach[J]. International Journal of Robust and Nonlinear Control, 2013, 24(17), 2928-2942.
Authors:  Paulo Rosa;  Carlos Silvestre;  Michael Athans
Favorite | TC[WOS]:10 TC[Scopus]:12  IF:3.2/3.5 | Submit date：2019/02/13
System Model Validation  Uncertain Linear Systems  Coprime Factorization  Fault Detection  Identification Methods  
Type-2 hierarchical fuzzy system for high-dimensional data-based modeling with uncertainties Journal article
Liu Z., Chen C.L.P., Zhang Y., Li H.. Type-2 hierarchical fuzzy system for high-dimensional data-based modeling with uncertainties[J]. Soft Computing, 2012, 16(11), 1945-1957.
Authors:  Liu Z.;  Chen C.L.P.;  Zhang Y.;  Li H.
Favorite | TC[WOS]:17 TC[Scopus]:21 | Submit date：2019/02/11
Type-2 Fuzzy Logic System  Type-2 Hierarchical Fuzzy System  Uncertain Modeling And Optimization  
APPROACHES TO MODEL AND CONTROL NONLINEAR SYSTEMS BY RBF NEURAL NETWORKS Journal article
XIFAN YAO, ZHAOTONG LIAN, DONGYUAN GE, YI HE. APPROACHES TO MODEL AND CONTROL NONLINEAR SYSTEMS BY RBF NEURAL NETWORKS[J]. International journal of innovative computing, information & control, 2011, 7(2), 941-954.
Authors:  XIFAN YAO;  ZHAOTONG LIAN;  DONGYUAN GE;  YI HE
Favorite | TC[WOS]:7 TC[Scopus]:11  IF:1.3/0.9 | Submit date：2019/11/27
Nonlinear System  Uncertain System  Modeling  Control  Neural Network  Radical Basis Function  Approximation  Linearization