CASIA OpenIR
Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time
Sui, Shuai1,2; Chen, C. L. Philip2,3,4; Tong, Shaocheng1
Source PublicationIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
ISSN2162-237X
2019-07-01
Volume30Issue:7Pages:2153-2162
Corresponding AuthorChen, C. L. Philip(philip.chen@ieee.org)
AbstractThis paper solves the finite-time switching control issue for the nonstrict-feedhack nonlinear switched systems. The controlled plants contain immeasurable states, arbitrarily switchings, and the unknown functions which are constructed with the whole states. Neural network is used to simulate the uncertain systems and a filter-based state observer is designed to estimate the immeasurable states in this paper, respectively. Based on the backstepping recursive technique and the common Lyapunov function method, a finite-time switching control method is presented. Due to the developed finite-time control strategy, the closed-loop signals can he ensured to be bounded under arbitrarily switchings, and the outputs of systems can quickly track the desired reference signals in finite time. The effectiveness of the proposed method is given through its application to a massspring-damper system.
KeywordCommon Lyapunov function finite time non-triangular structure switched systems
DOI10.1109/TNNLS.2018.2876352
WOS KeywordTRACKING CONTROL ; ADAPTIVE STABILIZATION ; DELAY SYSTEMS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[61572540] ; National Natural Science Foundation of China[61603167] ; National Natural Science Foundation of China[61773188] ; National Natural Science Foundation of China[61751202] ; National Natural Science Foundation of China[61751205] ; Macao Science and Technology Development Fund[079/2017/A2] ; Macao Science and Technology Development Fund[024/2015/AMJ] ; Macao Science and Technology Development Fund[019/2015/A1] ; University of Macau
Funding OrganizationNational Natural Science Foundation of China ; Macao Science and Technology Development Fund ; University of Macau
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000472605500018
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:22[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/27852
Collection中国科学院自动化研究所
Corresponding AuthorChen, C. L. Philip
Affiliation1.Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Peoples R China
2.Univ Macau, Dept Comp & Informat Sci, Macau 999078, Peoples R China
3.Dalian Maritime Univ, Dalian 116026, Peoples R China
4.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100080, Peoples R China
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Sui, Shuai,Chen, C. L. Philip,Tong, Shaocheng. Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2019,30(7):2153-2162.
APA Sui, Shuai,Chen, C. L. Philip,&Tong, Shaocheng.(2019).Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,30(7),2153-2162.
MLA Sui, Shuai,et al."Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 30.7(2019):2153-2162.
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