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Neuro-adaptive fixed-time control with novel command filter design for nonlinear systems with input dead-zone
Tang, Liqiang1; Yang, Yongliang1; Zou, Wencheng2; Song, Ruizhuo1
2022-10-28
Source PublicationNeurocomputing
ISSN0925-2312
Volume511Pages:308-318
Abstract

This paper designs novel command filters (CFs) and a singularity-free controller with fixed-time performance for strict feedback nonlinear systems with input dead-zone. Compared with traditional filter designs, such as dynamic surface control and CFs, the novel CFs designed in this paper can guarantee fixed-time convergence of filter errors and compensating signals. Moreover, the controller design excludes the singularities of control signals, which might result in severe oscillation and usually appear in the conventional fixed-time controller design. To compensate the input dead-zone, a compensation filter is constructed, where controller design and stability analysis can be simplified. In the end, a simulation example is given to verify the effectiveness of the theoretical results.

KeywordCompensation Mechanism Fixed-time Performance Input Dead-zone Novel Command Filter Singularity-free Guarantee
DOI10.1016/j.neucom.2022.09.034
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000857257300008
Scopus ID2-s2.0-85138116893
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Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorYang, Yongliang
Affiliation1.Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology, Beijing, Beijing, 100083, China
2.State Key Laboratory of IoTSC, University of Macau, Taipa, Macau, China
Recommended Citation
GB/T 7714
Tang, Liqiang,Yang, Yongliang,Zou, Wencheng,et al. Neuro-adaptive fixed-time control with novel command filter design for nonlinear systems with input dead-zone[J]. Neurocomputing, 2022, 511, 308-318.
APA Tang, Liqiang., Yang, Yongliang., Zou, Wencheng., & Song, Ruizhuo (2022). Neuro-adaptive fixed-time control with novel command filter design for nonlinear systems with input dead-zone. Neurocomputing, 511, 308-318.
MLA Tang, Liqiang,et al."Neuro-adaptive fixed-time control with novel command filter design for nonlinear systems with input dead-zone".Neurocomputing 511(2022):308-318.
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