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A data-driven approach for modeling open domain in computational fluid dynamics
期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES (PNAS), 2025
作者:
Zhou XC(周宣辰)
;
Lv CY(吕超阳)
;
Wang Y(汪阳)
;
Liu XP(刘晓培)
Adobe PDF(5817Kb)
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浏览/下载:116/6
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提交时间:2024/10/08
machine learning
computational fluid dynamics
domain boundary model
Lattice Boltzmann Fluid Solver with Symmetric, Conservative and Equilibrium-Preserving Neural Collision Operator
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2025
作者:
Fu, Xinyi
;
Bai, Kai
;
Wang, Yang
;
Liu, Xiaopei
Adobe PDF(1036Kb)
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浏览/下载:89/1
  |  
提交时间:2024/10/09
lattice Boltzmann method
neural fluid solver
structure-preserving learning
constrained neural network
Parameter Identification in Linear Error Equations: Guaranteeing Output Error Boundedness
会议论文
2024 63TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC)
作者:
Pin,Gilberto
;
Gong,Yizhou
;
Wang,Yang
;
Serrani,Andrea
Adobe PDF(740Kb)
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浏览/下载:72/1
  |  
提交时间:2024/09/24
Multi-Level Progressive Reinforcement Learning for Control Policy in Physical Simulations
会议论文
2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), Yokohama, Japan, 13-17 May 2024
作者:
Kefei Wu
;
Xuming He
;
Yang Wang
;
Xiaopei Liu
Adobe PDF(2701Kb)
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浏览/下载:87/1
  |  
提交时间:2024/08/26
Intelligent virtual agents
Reinforcement learning
Control policy
Fluid simulations
Model free
Multilevels
Physical simulation
Real-world scenario
Reinforcement learning algorithms
Reinforcement learnings
Simulation took
Training model
Robust output regulation of a class of uncertain nonlinear minimum phase systems perturbed by unknown external disturbances
期刊论文
EUROPEAN JOURNAL OF CONTROL, 2024, 卷号: 77
作者:
Gong, Yizhou
;
Zhu, Fanglai
;
Wang, Yang
Adobe PDF(897Kb)
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浏览/下载:140/2
  |  
提交时间:2024/04/26
Feedback
Numerical methods
External disturbances
Finite-time
High gain
Nonlinear minimum phase systems
Nonlinear uncertain systems
Output regulation
Output-feedback stabilizations
Saturation function
Stabiliser
Unknown input observer
Robust output regulation for uncertain nonlinear minimum phase systems under unknown control direction
期刊论文
SYSTEMS AND CONTROL LETTERS, 2024, 卷号: 185
作者:
Gong, Yizhou
;
Zhu, Fanglai
;
Wang, Yang
Adobe PDF(912Kb)
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浏览/下载:154/2
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提交时间:2024/03/08
Closed loop systems
Uncertainty analysis
External disturbances
Modeling parameters
Nonlinear minimum phase systems
Observer-based
Observers designs
Output regulation
Switching mechanism
Unknown control direction
Unknown input observer
A Novel Parameter-dependent Input Normalization-based Direct MRAC with Unknown Control Direction
会议论文
2024 63TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC)
作者:
Gong,Yizhou
;
Pin,Gilberto
;
Wang,Yang
Adobe PDF(574Kb)
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浏览/下载:99/9
  |  
提交时间:2024/09/18
Iterative Learning Embedded Composite Model Reference Adaptive Control for Off-Axis In-Situ Rotation in Nanorobotic Manipulation
期刊论文
IEEE CONTROL SYSTEMS LETTERS, 2024, 卷号: 8, 页码: 291-296
作者:
Zhang, Heng
;
Fu, Xiang
;
Liu, Song
;
Wang, Yang
Adobe PDF(1027Kb)
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浏览/下载:189/0
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提交时间:2024/01/19
Nanorobotics
indirect iterative learning control
composite model reference adaptive control
Iterative methods
Rotation
Two term control systems
Uncertainty analysis
Visual servoing
Adaptation models
Adaptive Control
Composite model reference adaptive control
Composite Modelling
Convergence
Indirect iterative learning control
Iterative learning control
Model-reference adaptive controls
Nano-positioning
Uncertainty
Adaptive neural network control of robotic manipulators with input constraints and without velocity measurements
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2024, 卷号: 18, 期号: 10, 页码: 1232-1247
作者:
Zhang, Heng
;
Zhao, Yangyang
;
Wang, Yang
;
Liu, Lin
Adobe PDF(3336Kb)
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浏览/下载:100/0
  |  
提交时间:2024/05/11
Adaptive control systems
Constraint handling
Degrees of freedom (mechanics)
Economic and social effects
Flexible manipulators
Robot applications
Uncertainty analysis
Adaptive Control
Adaptive neural networks
Constraint handling
External disturbances
Input constraints
Manipulator dynamics
Neural network control
Neural-networks
Performance
Tracking
Joint unknown input observer for descriptor system based on interval observer
期刊论文
ISA TRANSACTIONS, 2024, 卷号: 151, 页码: 153-163
作者:
Zhu, Fanglai
;
Zhang, Jiancheng
;
Guo, Shenghui
;
Wang, Yang
;
Serrani, Andrea
Adobe PDF(3709Kb)
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浏览/下载:113/0
  |  
提交时间:2024/06/07
Algebra
Describing functions
State space methods
Descriptor systems
Interval observers
Jointed unknown input observer
Normal form
Original systems
State-space models
Unknown input observer
Unknown input reconstruction
Unknown inputs
Upper boundary