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Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application
Wang, Ding1,2,3; He, Haibo3; Zhong, Xiangnan3; Liu, Derong4
Source PublicationIEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
2017-10-01
Volume64Issue:10Pages:8177-8186
SubtypeArticle
Abstract

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.

KeywordAdaptive/approximate Dynamic Programming Approximation Discount Factor Event-driven Control Neural Networks Optimal Regulation Power System
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TIE.2017.2698377
WOS KeywordTracking Control ; Time-systems
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(U1501251 ; Beijing Natural Science Foundation(4162065) ; U.S. National Science Foundation(ECCS 1053717) ; SKLMCCS ; 61533017 ; 61233001 ; 51529701 ; 61520106009)
WOS Research AreaAutomation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS IDWOS:000410160200055
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20722
Collection复杂系统管理与控制国家重点实验室_平行控制
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
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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