Adaptive Neural Output-Feedback Controller Design of Switched Nonlower Triangular Nonlinear Systems With Time Delays
Niu, Ben1; Wang, Ding2,3; Liu, Ming4; Song, Xinmin1; Wang, Huanqing5; Duan, Peiyong1
发表期刊IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
ISSN2162-237X
2020-10-01
卷号31期号:10页码:4084-4093
通讯作者Niu, Ben(niubenbhu@gmail.com)
摘要In this article, we study the issue of adaptive neural output-feedback controller design for a class of uncertain switched time-delay nonlinear systems with nonlower triangular structure. The prominent contribution of this article is that the delay-dependent stability criterion of nonswitched nonlinear systems is successfully extended to that of switched nonlower triangular nonlinear systems. The design algorithm is listed as follows. First, a switched state observer is designed such that the error dynamic system can be generated. Second, neural networks, adaptive backstepping technique, and variable separation method are, respectively, applied to construct a common controller for all subsystems, in which the Lyapunov-Krasovskii functionals are deliberately constructed such that the average dwell-time scheme can be employed to guarantee the stability and performance of the closed-loop system, despite the existence of time delays. Third, the stability analysis process confirms in detail that all the variables of the closed-loop system are semiglobally uniformly ultimately bounded. Finally, simulation study is given to show the validity of the proposed control approach.
关键词Switches Adaptive systems Nonlinear systems Delay effects Backstepping Stability analysis Adaptive control average dwell time (ADT) neural networks (NNs) nonlower triangular form switched nonlinear systems time delays
DOI10.1109/TNNLS.2019.2952108
关键词[WOS]H-INFINITY CONTROL ; FUZZY CONTROL ; STABILIZATION ; STABILITY ; TRACKING
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[61873151] ; National Natural Science Foundation of China[61873152] ; National Natural Science Foundation of China[61773373] ; National Natural Science Foundation of China[61773192] ; National Natural Science Foundation of China[61773246] ; Shandong Provincial Natural Science Foundation, China[ZR2019MF009] ; Taishan Scholar Project of Shandong Province of China[tsqn201909078] ; Major Program of Shandong Province Natural Science Foundation[ZR2018ZB0419]
项目资助者National Natural Science Foundation of China ; Shandong Provincial Natural Science Foundation, China ; Taishan Scholar Project of Shandong Province of China ; Major Program of Shandong Province Natural Science Foundation
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号WOS:000576436600025
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
被引频次:91[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/173211/42091
专题复杂系统管理与控制国家重点实验室_复杂系统智能机理与平行控制团队
通讯作者Niu, Ben
作者单位1.Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Peoples R China
2.Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
3.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
4.Harbin Inst Technol, Sch Astronaut, Harbin 150001, Peoples R China
5.Bohai Univ, Coll Math & Phys, Jinzhou 121013, Peoples R China
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GB/T 7714
Niu, Ben,Wang, Ding,Liu, Ming,et al. Adaptive Neural Output-Feedback Controller Design of Switched Nonlower Triangular Nonlinear Systems With Time Delays[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2020,31(10):4084-4093.
APA Niu, Ben,Wang, Ding,Liu, Ming,Song, Xinmin,Wang, Huanqing,&Duan, Peiyong.(2020).Adaptive Neural Output-Feedback Controller Design of Switched Nonlower Triangular Nonlinear Systems With Time Delays.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,31(10),4084-4093.
MLA Niu, Ben,et al."Adaptive Neural Output-Feedback Controller Design of Switched Nonlower Triangular Nonlinear Systems With Time Delays".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 31.10(2020):4084-4093.
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