CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 平行控制
Neural-Network-Based Finite Horizon Optimal Control for Partially Unknown Linear Continuous-Time Systems
Li, Chao; Li, Hongliang; Liu, Derong
2015
Conference Name7th International Conference on Advanced Computational Intelligence
Conference DateMarch 27-29, 2015
Conference PlaceMount Wuyi, Fujian, China
AbstractIn this paper, we establish a neural-network-based online learning algorithm to solve the finite horizon linear quadratic regulator (FHLQR) problem for partially unknown continuous-time systems. To solve the FHLQR problem with partially unknown system dynamics, we develop a time-varying Riccati equation. A critic neural network is used to approximate the value function and the online learning algorithm is established using the policy iteration technique to solve the time-varying Riccati equation. An integral policy iteration method and a tuning law are used when the algorithm is implemented without the knowledge of the system drift dynamics. We give a simulation example to show the effectiveness of this algorithm.
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14313
Collection复杂系统管理与控制国家重点实验室_平行控制
AffiliationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Li, Chao,Li, Hongliang,Liu, Derong. Neural-Network-Based Finite Horizon Optimal Control for Partially Unknown Linear Continuous-Time Systems[C],2015.
Files in This Item: Download All
File Name/Size DocType Version Access License
6.pdf(1006KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Chao]'s Articles
[Li, Hongliang]'s Articles
[Liu, Derong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Chao]'s Articles
[Li, Hongliang]'s Articles
[Liu, Derong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Chao]'s Articles
[Li, Hongliang]'s Articles
[Liu, Derong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 6.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.