Volterra's kernels-based finite-time parameters estimation of the Chua system
File(s)
Author(s)
Fedele, Giuseppe
D'Alfonso, Luigi
Pin, Gilberto
Parisini, Thomas
Type
Conference Paper
Abstract
In this work, the unknown set of parameters of the Chua system is recovered under the hypothesis that the voltages of the capacitors are available. The system is shown to be algebraically observable and identifiable with respect to the chosen outputs. Focusing on the differential equations, the Volterra kernel-based approach is used to perform an estimation without the uncertainty of the unmeasurable derivatives and the unknown initial conditions.
Date Issued
2017-10-12
Date Acceptance
2017-08-18
Citation
Applied Mathematics and Computation, 2017, 318, pp.121-130
ISSN
0096-3003
Publisher
Elsevier
Start Page
121
End Page
130
Journal / Book Title
Applied Mathematics and Computation
Volume
318
Copyright Statement
© 2017 Elsevier Inc. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000415905500010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Source
2nd International Conference on Numerical Computations - Theory and Algorithms (NUMTA)
Subjects
Science & Technology
Physical Sciences
Mathematics, Applied
Mathematics
Chua system
Volterra's kernels
Sliding mode control
Finite time estimation
CHAOTIC SYSTEMS
SYNCHRONIZATION
COMMUNICATION
IDENTIFICATION
RECONSTRUCTION
OSCILLATOR
Publication Status
Published
Start Date
2016-06-19
Finish Date
2016-06-25
Coverage Spatial
Pizzo Calabria, ITALY