Knowledge Commons of Institute of Automation,CAS
Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application | |
Wang, Ding1,2,3; He, Haibo3; Zhong, Xiangnan3; Liu, Derong4 | |
发表期刊 | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS |
2017-10-01 | |
卷号 | 64期号:10页码:8177-8186 |
文章类型 | Article |
摘要 | By employing neural network approximation architecture, the nonlinear discounted optimal regulation is handled under event-driven adaptive critic framework. The main idea lies in adopting an improved learning algorithm, so that the event-driven discounted optimal control law can be derived via training a neural network. The stability guarantee and simulation illustration are also included. It is highlighted that the initial stabilizing control policy is not required during the implementation process with the combined learning rule. Moreover, the closed-loop system is formulated as an impulsive model. Then, the related stability issue is addressed by using the Lyapunov approach. The simulation studies, including an application to a power system, are also conducted to verify the effectiveness of the present design method. |
关键词 | Adaptive/approximate Dynamic Programming Approximation Discount Factor Event-driven Control Neural Networks Optimal Regulation Power System |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1109/TIE.2017.2698377 |
关键词[WOS] | Tracking Control ; Time-systems |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Natural Science Foundation of China(U1501251 ; Beijing Natural Science Foundation(4162065) ; U.S. National Science Foundation(ECCS 1053717) ; SKLMCCS ; 61533017 ; 61233001 ; 51529701 ; 61520106009) |
WOS研究方向 | Automation & Control Systems ; Engineering ; Instruments & Instrumentation |
WOS类目 | Automation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation |
WOS记录号 | WOS:000410160200055 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/20722 |
专题 | 多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队 |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China 3.Univ Rhode Isl, Dept Elect Comp & Biomed Engn, Kingston, RI 02881 USA 4.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Wang, Ding,He, Haibo,Zhong, Xiangnan,et al. Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2017,64(10):8177-8186. |
APA | Wang, Ding,He, Haibo,Zhong, Xiangnan,&Liu, Derong.(2017).Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,64(10),8177-8186. |
MLA | Wang, Ding,et al."Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 64.10(2017):8177-8186. |
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[J-2017-TIE] Event-d(1126KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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