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Knowledge Commons of Institute of Automation,CAS
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复杂系统管理与控制国... [4]
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Adaptive Critic Designs for Optimal Event-Driven Control of a CSTR System
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17, 期号: 1, 页码: 484-493
Authors:
Yang, Xiong
;
Wei, Qinglai
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Submit date:2021/01/06
Chemical reactors
Optimal control
Nonlinear systems
Adaptive systems
Cost function
Informatics
Closed loop systems
Adaptive critic designs (ACDs)
continuous stirred tank reactor (CSTR)
discounted cost
event-driven control
reinforcement learning (RL)
Using reinforcement learning techniques to solve continuous-time non-linear optimal tracking problem without system dynamics
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2016, 卷号: 10, 期号: 12, 页码: 1339-1347
Authors:
Zhu, Yuanheng
;
Zhao, Dongbin
;
Li, Xiangjun
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View/Download:292/134
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Submit date:2016/12/26
Nonlinear Control Systems
Continuous Time Systems
Learning (Artificial Intelligence)
Optimal Control
Dynamic Programming
Lyapunov Methods
Linear Systems
Reinforcement Learning
Continuous-time Problem
Nonlinear Optimal Tracking Problem
Adaptive Dynamic Programming
Model-free Adaptive Optimal Tracking Algorithm
Lyapunov Analysis
Linear System
连续状态系统的近似最优在线强化学习
学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2015
Authors:
朱圆恒
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View/Download:390/0
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Submit date:2015/09/02
强化学习
最优控制
近似策略迭代
概率近似最优
连续状态系统
收敛性
在线学习
Kd树
Reinforcement Learning
Optimal Control
Approximate Policy Iteration
Probably Approximately Correct
Continuous-state System
Convergence
Online Learning
Kd-tree
Dynamic dual adjustment of daily budgets and bids in sponsored search auctions
期刊论文
DECISION SUPPORT SYSTEMS, 2014, 卷号: 57, 期号: 0, 页码: 105-114
Authors:
Zhang, Jie
;
Yang, Yanwu
;
Li, Xin
;
Qin, Rui
;
Zeng, Daniel
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Submit date:2015/08/12
Sponsored Search Auction
Budget Adjustment
Continuous Reinforcement Learning
Dynamic Adjustment
Neural-network-based online optimal control for uncertain non-linear continuous-time systems with control constraints
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2013, 卷号: 7, 期号: 17, 页码: 2037-2047
Authors:
Yang, Xiong
;
Liu, Derong
;
Huang, Yuzhu
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View/Download:167/47
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Submit date: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
连续状态空间的强化学习问题
学位论文
, 中国科学院自动化研究所: 中国科学院研究生院, 2007
Authors:
何源
Adobe PDF(2826Kb)
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Submit date:2015/09/02
强化学习
连续状态空间
核方法
函数逼近
Reinforcement Learning
Continuous State Space
Kernel Method
Function
连续状态-动作空间下强化学习方法的研究
学位论文
, 中国科学院自动化研究所: 中国科学院研究生院, 2005
Authors:
程玉虎
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View/Download:440/0
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Submit date:2015/09/02
强化学习
连续空间
函数逼近
Rbf 网络
模糊推理系统
Reinforcement Learning
Continuous Space
Function Approximation
Rbf Network
Fuzzy Inference System