Event-Triggered Near-Optimal Control of Discrete-Time Constrained Nonlinear Systems With Application to a Boiler-Turbine System
Wei, Qinglai1,2,3; Lu, Jingwei2,4; Zhou, Tianmin2,4; Cheng, Xiang2,4; Wang, Fei-Yue2,4
发表期刊IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
ISSN1551-3203
2022-06-01
卷号18期号:6页码:3926-3935
通讯作者Wei, Qinglai(qinglai.wei@ia.ac.cn)
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.
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
DOI10.1109/TII.2021.3116084
关键词[WOS]PREDICTIVE CONTROL ; PARALLEL CONTROL ; ALGORITHM
收录类别SCI
语种英语
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]
项目资助者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
WOS研究方向Automation & Control Systems ; Computer Science ; Engineering
WOS类目Automation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS记录号WOS:000761218600036
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类智能控制
引用统计
被引频次:32[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/47949
专题多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者Wei, Qinglai
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100049, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
3.Macau Univ Sci & Technol, Inst Syst Engn, Macau 999078, Peoples R China
4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
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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.
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