Ji, Nan, Wang, Lei, Yan, Xinggang, Xu, Dezhi (2024) An innovative dynamic observer for nonlinear interconnected systems with uncertainties. Transactions of the Institute of Measurement and Control, . ISSN 0142-3312. E-ISSN 1477-0369. (doi:10.1177/01423312241274007) (KAR id:107672)
PDF
Author's Accepted Manuscript
Language: English |
|
Download this file (PDF/472kB) |
Preview |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: https://doi.org/10.1177/01423312241274007 |
Abstract
In this paper, an innovative dynamic observer is applied to complex nonlinear interconnected systems with matched and mismatched uncertainties. This dynamic observer can estimate system states, which cannot be achieved during the design process for nonlinear interconnected systems with uncertainties. The proposed method has great identification ability with small estimated errors for the states of nonlinear interconnected systems with matched and mismatched uncertainties. It should be pointed out that the considered uncertainties of nonlinear interconnected systems have general forms, which means that the proposed method can be effectively used in more generalised nonlinear interconnected systems. Finally, simulation results for the lateral flight control system are presented to ensure the effectiveness of this strategy.
Item Type: | Article |
---|---|
DOI/Identification number: | 10.1177/01423312241274007 |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 13 Nov 2024 11:14 UTC |
Last Modified: | 19 Nov 2024 10:05 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/107672 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):