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Event-Triggered Near-Optimal Control of Discrete-Time Constrained Nonlinear Systems With Application to a Boiler-Turbine System

文献类型：期刊论文

作者Wei, Qinglai2,3,4; Lu, Jingwei1,3; Zhou, Tianmin1,3; Cheng, Xiang1,3; Wang, Fei-Yue1,3
刊名IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
出版日期2022-06-01
卷号18期号:6页码:3926-3935
关键词Optimal control Nonlinear systems Informatics Control systems Performance analysis Mathematical models Upper bound Adaptive dynamic programming (ADP) boiler-turbine system (BTS) control constraints event-triggered nonlinear optimal control parallel control
ISSN号1551-3203
DOI10.1109/TII.2021.3116084
通讯作者Wei, Qinglai(qinglai.wei@ia.ac.cn)
英文摘要This article presents a novel event-triggered near-optimal control (ETNOC) method for discrete-time (DT) constrained nonlinear systems. First, the tracking error system is constructed to convert the tracking control problem to the regulation problem. By introducing the tracking error system, the asymmetric control constraints design for the original constrained system can be converted to the symmetric control constraints design for the tracking error system. Second, a novel triggering condition is developed using the time-triggered optimal value function and control law. It is proven that the closed-loop system (CLS) is asymptotically stable under the developed ETNOC method, and there exists a predetermined upper bound for the real performance index. Then, to implement the developed ETNOC method, a parallel control approach with neural networks (NNs) and adaptive dynamic programming techniques is proposed to predict the next state of the system and obtain the optimal value function and control law. The stability analysis of the CLS is provided in the consideration of the estimation errors of the NN weights and state. Finally, the effectiveness of the developed ETNOC method is validated by an application to a boiler-turbine system.
WOS关键词PREDICTIVE CONTROL ; PARALLEL CONTROL ; ALGORITHM
资助项目National Key Research and Development Program of China[2018YFB1702300] ; National Key Research and Development Program of China[2018AAA0101502] ; National Natural Science Foundation of China[62073321] ; National Natural Science Foundation of China[62073085] ; Guangdong Introducing Innovative and Entrpreneurial Teams of The Pearl River Talent Recruitment Program[2019ZT08X340]
WOS研究方向Automation & Control Systems ; Computer Science ; Engineering
语种英语
WOS记录号WOS:000761218600036
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Guangdong Introducing Innovative and Entrpreneurial Teams of The Pearl River Talent Recruitment Program
源URL[http://ir.ia.ac.cn/handle/173211/47948]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Wei, Qinglai
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Macau Univ Sci & Technol, Inst Syst Engn, Macau 999078, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Wei, Qinglai,Lu, Jingwei,Zhou, Tianmin,et al. Event-Triggered Near-Optimal Control of Discrete-Time Constrained Nonlinear Systems With Application to a Boiler-Turbine System[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2022,18(6):3926-3935.
APA Wei, Qinglai,Lu, Jingwei,Zhou, Tianmin,Cheng, Xiang,&Wang, Fei-Yue.(2022).Event-Triggered Near-Optimal Control of Discrete-Time Constrained Nonlinear Systems With Application to a Boiler-Turbine System.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,18(6),3926-3935.
MLA Wei, Qinglai,et al."Event-Triggered Near-Optimal Control of Discrete-Time Constrained Nonlinear Systems With Application to a Boiler-Turbine System".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 18.6(2022):3926-3935.

入库方式： OAI收割

来源：自动化研究所

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