Residential College | false |
Status | 已發表Published |
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 Publication | Neurocomputing |
ISSN | 0925-2312 |
Volume | 511Pages: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. |
Keyword | Compensation Mechanism Fixed-time Performance Input Dead-zone Novel Command Filter Singularity-free Guarantee |
DOI | 10.1016/j.neucom.2022.09.034 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Artificial Intelligence |
WOS ID | WOS:000857257300008 |
Scopus ID | 2-s2.0-85138116893 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Corresponding Author | Yang, Yongliang |
Affiliation | 1.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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