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Fuzzy Adaptive Finite-Time Consensus Control for High-Order Nonlinear Multi-Agent Systems Based on Event-Triggered
Journal article
Zhou, Haodong, Sui, Shuai, Tong, Shaocheng. Fuzzy Adaptive Finite-Time Consensus Control for High-Order Nonlinear Multi-Agent Systems Based on Event-Triggered[J]. IEEE Transactions on Fuzzy Systems, 2022.
Authors:
Zhou, Haodong
;
Sui, Shuai
;
Tong, Shaocheng
Favorite
|
TC[WOS]:
36
TC[Scopus]:
39
IF:
10.7
/
9.7
|
Submit date:2022/05/17
Artificial Neural Networks
Backstepping
Consensus Control
Consensus Control
Control Design
Convergence
Eventtriggered
Finite-time
Fuzzy Logic
High-order Nonlinear Multi-agent Systems
Nonlinear Dynamical Systems
Optimal Robot-Environment Interaction under Broad Fuzzy Neural Adaptive Control
Journal article
Huang, Haohui, Yang, Chenguang, Chen, C. L.Philip. Optimal Robot-Environment Interaction under Broad Fuzzy Neural Adaptive Control[J]. IEEE Transactions on Cybernetics, 2021, 51(7), 3824-3835.
Authors:
Huang, Haohui
;
Yang, Chenguang
;
Chen, C. L.Philip
Favorite
|
TC[WOS]:
90
TC[Scopus]:
116
IF:
9.4
/
10.3
|
Submit date:2021/12/08
Broad Learning System (Bls)
Fuzzy-logic Control
Impedance Adaptation
Neural Network (Nn)
State Constraints
Asymptotic adaptive control of nonlinear systems with elimination of overparametrization in a Nussbaum-like design
Journal article
Chen, Ci, Liu, Zhi, Xie, Kan, Zhang, Yun, Chen, C. L. Philip. Asymptotic adaptive control of nonlinear systems with elimination of overparametrization in a Nussbaum-like design[J]. AUTOMATICA, 2018, 98, 277-284.
Authors:
Chen, Ci
;
Liu, Zhi
;
Xie, Kan
;
Zhang, Yun
;
Chen, C. L. Philip
Favorite
|
TC[WOS]:
34
TC[Scopus]:
35
IF:
4.8
/
6.0
|
Submit date:2019/01/17
Tuning Function
Asymptotic Control
Adaptive Fuzzy Control
Neural Network
Computational Reduction
A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems
Journal article
Rong, Hai-Jun, Yang, Zhao-Xu, Wong, Pak Kin, Vong, Chi Man, Zhao, Guang-She. A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems[J]. NEUROCOMPUTING, 2017, 230, 332-344.
Authors:
Rong, Hai-Jun
;
Yang, Zhao-Xu
;
Wong, Pak Kin
;
Vong, Chi Man
;
Zhao, Guang-She
Favorite
|
TC[WOS]:
19
TC[Scopus]:
21
IF:
5.5
/
5.5
|
Submit date:2018/10/30
Meta-cognitive Learning
Backstepping Control
Nonlinear Systems
Fuzzy Neural Control
A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems
Journal article
Rong, H.J., Yang, Z.X., Wong, P. K., Vong, C. M., Zhao, G.S.. A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems[J]. Neurocomputing (SCI-E), 2017, 332-344.
Authors:
Rong, H.J.
;
Yang, Z.X.
;
Wong, P. K.
;
Vong, C. M.
;
Zhao, G.S.
Favorite
|
IF:
5.5
/
5.5
|
Submit date:2022/08/09
Meta-cognitive learning
Backstepping control
Nonlinear systems
Fuzzy neural control
Fuzzy neural network-based adaptive control for a class of uncertain nonlinear stochastic systems
Journal article
Chen C.L.P., Liu Y.-J., Wen G.-X.. Fuzzy neural network-based adaptive control for a class of uncertain nonlinear stochastic systems[J]. IEEE Transactions on Cybernetics, 2014, 44(5), 583.
Authors:
Chen C.L.P.
;
Liu Y.-J.
;
Wen G.-X.
Favorite
|
TC[WOS]:
447
TC[Scopus]:
483
|
Submit date:2018/10/30
Adaptive Control
Backstepping Design
Fuzzy-neural Networks
Nonlinear Stochastic Systems
Dynamic modeling and adaptive neural-fuzzy control for nonholonomic mobile manipulators moving on a slope
Journal article
Liu Y., Li Y.. Dynamic modeling and adaptive neural-fuzzy control for nonholonomic mobile manipulators moving on a slope[J]. International Journal of Control, Automation and Systems, 2006, 4(2), 197.
Authors:
Liu Y.
;
Li Y.
Favorite
|
|
Submit date:2018/10/30
Adaptive Control
Mobile Manipulator
Neural-fuzzy Control
Nonholonomic