中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [2]
数学与系统科学研究院 [1]
采集方式
OAI收割 [3]
内容类型
期刊论文 [3]
发表日期
2021 [1]
2020 [1]
2013 [1]
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Neural Network-Based Model-Free Learning Approach for Approximate Optimal Control of Nonlinear Systems
期刊论文
OAI收割
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2021, 卷号: E104A, 期号: 2, 页码: 532-541
作者:
Xu, Zhenhui
;
Shen, Tielong
;
Cheng, Daizhan
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2021/10/26
infinite-time horizon
approximate optimal control design
completely model-free
neural network
Distributed H_2/H_oo Filter Design for Discrete-Time Switched Systems
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 1, 页码: 158-168
作者:
Nezar M. Alyazidi
;
Magdi S. Mahmoud
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2021/03/11
Bounded power stochastic disturbance
discrete-time systems
HH2/HH∞ filtering
infinite horizon
multi-sensor
switched systems
Neural-network-based online optimal control for uncertain non-linear continuous-time systems with control constraints
期刊论文
OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2013, 卷号: 7, 期号: 17, 页码: 2037-2047
作者:
Yang, Xiong
;
Liu, Derong
;
Huang, Yuzhu
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2015/08/12
adaptive control
approximation theory
closed loop systems
continuous time systems
Lyapunov methods
neurocontrollers
nonlinear control systems
optimal control
robust control
uncertain systems
neural network-based online adaptive optimal control
uncertain nonlinear continuous-time systems
control constraints
infinite-horizon optimal control problem
control policy
saturation constraints
identifier-critic architecture
Hamilton-Jacobi-Bellman equation approximation
uncertain system dynamics
critic NN
action-critic dual networks
reinforcement learning
identifier NN
policy iteration
LyapunovaEuros direct method
closed loop system stability