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Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36
作者:
Ding Wang
;
Ning Gao
;
Derong Liu
;
Jinna Li
;
Frank L. Lewis
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/01/02
Adaptive dynamic programming (ADP)
advanced control
complex environment
data-driven control
event-triggered design
intelligent control
neural networks
nonlinear systems
optimal control
reinforcement learning (RL)
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:1/0
  |  
提交时间:2024/01/02
Adaptive dynamic programming (ADP)
internal model principle (IMP)
output feedback problem
policy iteration (PI)
value iteration (VI)
Event-Triggered Sliding-Mode Control for a Discrete-Time Muscle-Driven Musculoskeletal System
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 15
作者:
Fan, Yerui
;
Wu, Yaxiong
;
Yuan, Jianbo
;
Gao, Jie
;
Qiao, Hong
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  |  
浏览/下载:0/0
  |  
提交时间:2024/03/27
Musculoskeletal system
bio-inspired muscle model
discrete-time system
event-triggered control
sliding mode controller
Quantum Implementation of Numerical Methods for Convection-Diffusion Equations: Toward Computational Fluid Dynamics
期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2, 2023, 卷号: 33, 页码: 425-451
作者:
Liu BF(刘宝峰)
;
Zhu LX(朱力行)
;
Yang ZX(杨子轩)
;
He GW(何国威)
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  |  
浏览/下载:16/0
  |  
提交时间:2023/06/15
Quantum computing
partial differential equations
computational fluid dynamics
finite difference
finite element
Data-Driven Control of Distributed Event-Triggered Network Systems
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 351-364
作者:
Xin Wang
;
Jian Sun
;
Gang Wang
;
Frank Allgöwer
;
Jie Chen
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  |  
浏览/下载:27/0
  |  
提交时间:2023/01/16
Data-driven control
distributed event-triggered network system (ETS)
linear matrix inequalitie (LMI)
looped-functional
stability
Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1797-1809
作者:
Ding Wang
;
Jiangyu Wang
;
Mingming Zhao
;
Peng Xin
;
Junfei Qiao
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  |  
浏览/下载:5/0
  |  
提交时间:2023/08/10
Adaptive critic
artificial neural networks
Hamilton-Jacobi-Bellman (HJB) equation
multi-step heuristic dynamic programming
multi-step reinforcement learning
optimal control
The design and calibration of a low-cost underwater sound velocity profiler
期刊论文
FRONTIERS IN MARINE SCIENCE, 2022, 卷号: 9, 页码: 14
作者:
Zhang, Shengzong
;
Xu, Xiaoyang
;
Xu, Dazhen
;
Long, Keliu
;
Shen, Chong
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  |  
浏览/下载:10/0
  |  
提交时间:2022/12/29
calibration
discrete wavelet transform
ranging
recurrent neural network
sound velocity profiler
BSNN: Towards faster and better conversion of artificial neural networks to spiking neural networks with bistable neurons
期刊论文
FRONTIERS IN NEUROSCIENCE, 2022, 卷号: 16, 页码: 13
作者:
Li, Yang
;
Zhao, Dongcheng
;
Zeng, Yi
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  |  
浏览/下载:18/0
  |  
提交时间:2022/11/21
spiking neural network
bistability
neuromorphic computing
image classification
conversion
Matrix Decomposition-Based Adaptive Control of Noncanonical Form MIMO DT Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 卷号: 67, 期号: 8, 页码: 4330-4337
作者:
Zhang, Yanjun
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  |  
浏览/下载:8/0
  |  
提交时间:2023/02/07
Adaptive control
matrix decomposition
noncanonical form
output tracking
A discrete learning fruit fly algorithm based on knowledge for the distributed no-wait flow shop scheduling with due windows
期刊论文
Expert Systems with Applications, 2022, 卷号: 198
作者:
Zhu, Ningning
;
Zhao, Fuqing
;
Wang, Ling
;
Ding, Ruiqing
;
Xu, Tianpeng
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  |  
浏览/下载:28/0
  |  
提交时间:2022/04/21
Fruits
Iterative methods
Job shop scheduling
Learning algorithms
Local search (optimization)
Machine shop practice
Manufacture
Distributed no-wait flow-shop
Due-window
Fruit fly optimization
Fruitflies
Knowledge model
No-wait flowshop
Optimisations
Probability knowledge model
Variable neighborhood descend
Variable neighbourhoods
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