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Adaptive Optimal Discrete-Time Output-Feedback Using an Internal Model Principle and Adaptive Dynamic Programming
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 131-140
作者:
Zhongyang Wang
;
Youqing Wang
;
Zdzisław Kowalczuk
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浏览/下载:0/0
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提交时间:2024/01/02
Adaptive dynamic programming (ADP)
internal model principle (IMP)
output feedback problem
policy iteration (PI)
value iteration (VI)
Dynamic Event-Triggered Control of Continuous-Time Systems With Random Impulses
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2292-2299
作者:
Meng Yao
;
Guoliang Wei
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浏览/下载:0/0
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提交时间:2023/10/31
Dynamic event-triggered mechanisms
input-to-state stability
networked impulsive systems
random impulses
Optimal Control of Nonlinear Systems Using Experience Inference Human-Behavior Learning
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 90-102
作者:
Adolfo Perrusquía
;
Weisi Guo
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浏览/下载:23/0
  |  
提交时间:2023/01/03
Experience inference
hippocampus learning system
linear time-variant (LTV) systems
neocortex/striatum learning systems
nonlinear systems
optimal control
Lifting for the integer knapsack cover polyhedron
期刊论文
JOURNAL OF GLOBAL OPTIMIZATION, 2022, 页码: 45
作者:
Chen, Wei-Kun
;
Chen, Liang
;
Dai, Yu-Hong
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浏览/下载:13/0
  |  
提交时间:2023/02/07
Integer programming
Cutting plane
Sequential lifting
MIR inequality
Separation algorithm
A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds
期刊论文
MATHEMATICAL PROGRAMMING, 2022, 页码: 61
作者:
Zhou, Yuhao
;
Bao, Chenglong
;
Ding, Chao
;
Zhu, Jun
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浏览/下载:7/0
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提交时间:2023/02/07
Nonsmooth manifold optimization
Semismooth Newton method
Augmented Lagrangian method
Riemannian manifold
Monte Carlo-based reinforcement learning control for unmanned aerial vehicle systems
期刊论文
NEUROCOMPUTING, 2022, 卷号: 507, 页码: 282-291
作者:
Wei, Qinglai
;
Yang, Zesheng
;
Su, Huaizhong
;
Wang, Lijian
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浏览/下载:39/0
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提交时间:2022/09/19
Reinforcement learning
Adaptive dynamic programming (ADP)
UAV control
Monte Carlo simulation
Neural networks
SCELT (symbolic computation aided eigenvalue and linear code for tokamaks): A full MHD eigenvalue code in toroidal geometry developed with the use of a symbolic computation technique
期刊论文
COMPUTER PHYSICS COMMUNICATIONS, 2022, 卷号: 278
作者:
Ma, J.
;
Guo, W.
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浏览/下载:15/0
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提交时间:2022/12/23
Full MHD
Symbolic computation technique
Eigenvalue
Vector analysis
Automatic numerical discretization
Toroidal geometry
Linear convergence of an alternating polar decomposition method for low rank orthogonal tensor approximations
期刊论文
MATHEMATICAL PROGRAMMING, 2022, 页码: 60
作者:
Hu, Shenglong
;
Ye, Ke
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浏览/下载:5/0
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提交时间:2023/02/07
Orthogonally decomposable tensors
Low rank orthogonal tensor approximation
R-linear convergence
Sublinear convergence
Global convergence
The augmented lagrangian method can approximately solve convex optimization with least constraint violation
期刊论文
MATHEMATICAL PROGRAMMING, 2022, 页码: 35
作者:
Dai, Yu-Hong
;
Zhang, Liwei
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浏览/下载:5/0
  |  
提交时间:2023/02/07
Convex optimization
Least constraint violation
Augmented Lagrangian method
Shifted problem
Optimal value mapping
Solution mapping
Dual function
Conjugate dual
An effective water wave optimization algorithm with problem-specific knowledge for the distributed assembly blocking flow-shop scheduling problem
期刊论文
Knowledge-Based Systems, 2022, 卷号: 243
作者:
Zhao, Fuqing
;
Shao, Dongqu
;
Wang, Ling
;
Xu, Tianpeng
;
Zhu, Ningning
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浏览/下载:18/0
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提交时间:2022/04/21
Benchmarking
Integer programming
Machine shop practice
Manufacture
Production control
Scheduling
Supply chains
Blocking flow shops
Distributed assembly
Flow shop scheduling problem
Mixed integer linear
Optimisations
Optimization algorithms
Performance
Problem-specific knowledge
Total tardiness
Water wave optimization
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