Yan, Xinggang, Spurgeon, Sarah K., Shi, Peng (2015) Decentralised variable structure observation of nonlinear interconnected systems with time delay. Journal of the Franklin Institute, 352 (10). pp. 4129-4146. ISSN 0016-0032. (doi:10.1016/j.jfranklin.2015.06.002) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:51750)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1016/j.jfranklin.2015.06.002 |
Abstract
Decentralised local variable structure observers are proposed for a class of nonlinear interconnected systems in which the system states experience time delay while the inputs and outputs are delay free. The interconnections are nonlinear, unknown and time delayed, which provides particular challenge for the case of decentralised observation. It is not required that the bounds on the uncertainties in the isolated subsystems are functions of the system outputs. Unlike much of the existing work where the designed observer is an interconnected system, the observers designed in this paper are a set of decoupled dynamics and thus decentralised, which is more reliable in real implementation. A set of sufficient conditions are derived such that in the considered domain the corresponding error dynamics are asymptotically stable where the Lyapunov Razumikhin approach is employed to deal with the time delay. The delays are time varying, and there is no limitation on the rate of change of the time delays. A numerical example is presented to show the effectiveness of the results obtained.
Item Type: | Article |
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DOI/Identification number: | 10.1016/j.jfranklin.2015.06.002 |
Subjects: | T Technology > TJ Mechanical engineering and machinery > Control engineering |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Xinggang Yan |
Date Deposited: | 12 Nov 2015 10:30 UTC |
Last Modified: | 17 Aug 2022 10:59 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/51750 (The current URI for this page, for reference purposes) |
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