Discounted Near-Optimal Control of Affine Systems via a Progressive Cost Evolution Formulation - 文章详情页

作者：

Wang, Ding (Wang, Ding.) (学者：王鼎) | Wu, Junlong (Wu, Junlong.) | Hu, Lingzhi (Hu, Lingzhi.) | Qiao, Junfei (Qiao, Junfei.)

收录：

EI Scopus SCIE

摘要：

In　this　essay,　we　develop　a　combined　value　iteration　(CVI)　framework　to　address　discounted　optimal　control　problems　for　discrete-time　affine　nonlinear　systems.　First,　generated　by　novel　value　iteration　(NVI),　the　admissibility　is　investigated　for　the　iterative　control　policy.　Note　that　the　relaxation　factor　leads　to　the　adjustable　convergence　speed.　Second,　the　constraint　condition　for　the　discount　factor　is　established　to　guarantee　the　admissibility　of　the　iterative　control　policy　derived　from　stabilizing　value　iteration　(SVI).　In　addition,　the　monotonicity　is　discussed　for　the　iterative　cost　function　sequence.　More　importantly,　CVI　is　constructed　based　on　NVI　and　SVI.　Third,　produced　by　CVI,　the　system　stability　under　the　evolving　control　sequence　is　ensured　by　the　introduction　of　the　attraction　region.　In　the　end,　a　numerical　example　is　involved　to　confirm　the　related　theoretical　results.

关键词：

Optimal control Cost function Costs Stability criteria Iterative methods Nonlinear systems evolving control sequence combined value iteration intelligent control Adaptive critic nonlinear systems attraction region Convergence

作者机构：

[ 1 ] [Wang, Ding]Beijing Univ Technol, Fac Informat Technol, Beijing Key Lab Computat Intelligence & Intelligen, Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China
[ 2 ] [Wu, Junlong]Beijing Univ Technol, Fac Informat Technol, Beijing Key Lab Computat Intelligence & Intelligen, Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China
[ 3 ] [Hu, Lingzhi]Beijing Univ Technol, Fac Informat Technol, Beijing Key Lab Computat Intelligence & Intelligen, Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China
[ 4 ] [Qiao, Junfei]Beijing Univ Technol, Fac Informat Technol, Beijing Key Lab Computat Intelligence & Intelligen, Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China
[ 5 ] [Wang, Ding]Beijing Univ Technol, Beijing Inst Artificial Intelligence, Beijing 100124, Peoples R China
[ 6 ] [Wu, Junlong]Beijing Univ Technol, Beijing Inst Artificial Intelligence, Beijing 100124, Peoples R China
[ 7 ] [Hu, Lingzhi]Beijing Univ Technol, Beijing Inst Artificial Intelligence, Beijing 100124, Peoples R China
[ 8 ] [Qiao, Junfei]Beijing Univ Technol, Beijing Inst Artificial Intelligence, Beijing 100124, Peoples R China

通讯作者信息：

[Wang, Ding]Beijing Univ Technol, Fac Informat Technol, Beijing Key Lab Computat Intelligence & Intelligen, Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China;;[Wang, Ding]Beijing Univ Technol, Beijing Inst Artificial Intelligence, Beijing 100124, Peoples R China;;

电子邮件地址：

dingwang@bjut.edu.cn |
wujunlong@emails.bjut.edu.cn |
hulingzhi@emails.bjut.edu.cn |
adqiao@bjut.edu.cn

查看成果更多字段

成果类型
所属机构

所有年份指定年份从至