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Multi-output multi-physics-informed neural network for learning dimension-reduced probability density evolution equation with unknown spatio-temporal-dependent coefficients
Journal article
Hao, Teng Teng, Yan, Wang Ji, Chen, Jian Bing, Sun, Ting Ting, Yuen, Ka Veng. Multi-output multi-physics-informed neural network for learning dimension-reduced probability density evolution equation with unknown spatio-temporal-dependent coefficients[J]. Mechanical Systems and Signal Processing, 2024, 220, 111683.
Authors:
Hao, Teng Teng
;
Yan, Wang Ji
;
Chen, Jian Bing
;
Sun, Ting Ting
;
Yuen, Ka Veng
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
7.9
/
8.0
|
Submit date:2024/08/05
Dimension-reduced Probability Density Evolution Equation
Multi-output Network
Physics Informed Neural Network
Spatio-temporal-dependent Equations
Stochastic Dynamics
Approximation to Stochastic Variance Reduced Gradient Langevin Dynamics by Stochastic Delay Differential Equations
Journal article
Chen, Peng, Lu, Jianya, Xu, Lihu. Approximation to Stochastic Variance Reduced Gradient Langevin Dynamics by Stochastic Delay Differential Equations[J]. Applied Mathematics and Optimization, 2022, 85(2), 15.
Authors:
Chen, Peng
;
Lu, Jianya
;
Xu, Lihu
Favorite
|
TC[WOS]:
4
TC[Scopus]:
3
IF:
1.6
/
1.8
|
Submit date:2022/05/17
Malliavin Calculus
Refined Lindeberg Principle
Stochastic Delay Differential Equations (Sddes)
Stochastic Variance Reduced Gradient Langevin Dynamics (Svrg-ld)
Wasserstein-1 Distance
Dynamic Admission Control and Resource Allocation for Mobile Edge Computing Enabled Small Cell Network
Journal article
Huang, Jiwei, Lv, Bofeng, Wu, Yuan, Chen, Ying, Shen, Xuemin. Dynamic Admission Control and Resource Allocation for Mobile Edge Computing Enabled Small Cell Network[J]. IEEE Transactions on Vehicular Technology, 2021, 71(2), 1964-1973.
Authors:
Huang, Jiwei
;
Lv, Bofeng
;
Wu, Yuan
;
Chen, Ying
;
Shen, Xuemin
Favorite
|
TC[WOS]:
54
TC[Scopus]:
63
IF:
6.1
/
6.5
|
Submit date:2022/05/17
Task Analysis
Servers
Admission Control
Resource Management
Throughput
Vehicle Dynamics
Stochastic Processes
Mec
Small Cell Networks
Admission Control
Resource Allocation
A Novel Adaptive NN Prescribed Performance Control for Stochastic Nonlinear Systems
Journal article
Shuai Sui, C. L. Philip Chen, Shaocheng Tong. A Novel Adaptive NN Prescribed Performance Control for Stochastic Nonlinear Systems[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(7), 3196-3205.
Authors:
Shuai Sui
;
C. L. Philip Chen
;
Shaocheng Tong
Favorite
|
TC[WOS]:
157
TC[Scopus]:
148
IF:
10.2
/
10.4
|
Submit date:2021/12/08
Finite-time Performance Function (Ftpf)
Prescribed Performance
Stochastic Systems
Unmodeled Dynamics
Adaptive Fuzzy Leader-Following Consensus Control for Stochastic Multiagent Systems with Heterogeneous Nonlinear Dynamics
Journal article
Ren, Chang-E, Chen, Long, Chen, C. L. Philip. Adaptive Fuzzy Leader-Following Consensus Control for Stochastic Multiagent Systems with Heterogeneous Nonlinear Dynamics[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2017, 25(1), 181-190.
Authors:
Ren, Chang-E
;
Chen, Long
;
Chen, C. L. Philip
Favorite
|
TC[WOS]:
115
TC[Scopus]:
120
IF:
10.7
/
9.7
|
Submit date:2018/10/30
Adaptive Fuzzy Control
Consensus Control
Nonlinear Dynamics
Stochastic Multiagent Systems
Adaptive fuzzy leader-following consensus control for stochastic multi-agent systems with heterogeneous nonlinear dynamics
Journal article
Ren, C-E, Chen, L., Chen, C. L.. Adaptive fuzzy leader-following consensus control for stochastic multi-agent systems with heterogeneous nonlinear dynamics[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2016, 1-10.
Authors:
Ren, C-E
;
Chen, L.
;
Chen, C. L.
Favorite
|
IF:
10.7
/
9.7
|
Submit date:2022/07/27
consensus control
Stochastic multi-agent systems
nonlinear dynamics
leader-following consensus control
adaptive fuzzy control
leader-following consensus
Adaptive NN control for a class of stochastic nonlinear systems with unmodeled dynamics using DSC technique
Journal article
Li Z., Li T., Miao B., Chen C.L.P.. Adaptive NN control for a class of stochastic nonlinear systems with unmodeled dynamics using DSC technique[J]. Neurocomputing, 2015, 149(Part A), 142-150.
Authors:
Li Z.
;
Li T.
;
Miao B.
;
Chen C.L.P.
Favorite
|
TC[WOS]:
27
TC[Scopus]:
29
|
Submit date:2019/02/11
Dynamic Surface Control
Input-to-state Practical Stability
Neural Network
Small-gain Theorem
Stochastic Nonlinear System
Unmodeled Dynamics
The probabilistic solution of nonlinear Euler-Bernoulli beam excited by Poisson white noise
Conference proceedings
Beijing,China, 2012-8
Authors:
Guo-Kang Er
Favorite
|
|
Submit date:2019/06/11
Nonlinear Stochastic Dynamics
Multi-degree-of-freedom Systems
Fokker-planck Equation
Poisson White Noise
Methodology for the solutions of some reduced Fokker-Planck equations in high dimensions
Journal article
Er G.K.. Methodology for the solutions of some reduced Fokker-Planck equations in high dimensions[J]. Annalen der Physik (Leipzig), 2011, 523(3), 247.
Authors:
Er G.K.
Favorite
|
TC[WOS]:
71
TC[Scopus]:
75
|
Submit date:2018/10/30
Fokker-planck Equation
Large-scale Systems
Nonlinear Stochastic Dynamics
State Space Split.