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Recognizing system parameters in stochastic complex networks using adaptive synchronization

conference contribution
posted on 2016-12-27, 00:00 authored by Z Tang, J H Park, T H Lee, H Y Jung
The recognition of system parameters in uncertain complex dynamical networks with stochastic disturbance and time-varying delay is investigated in this note. By constructing a slave network and designing feedback controllers, the outer synchronization between two networks is achieved according to the Itô differential formula, LaSalle'e invariance principle. Meanwhile, the unknown system parameters in the uncertain complex networks and the control gains are obtained, re- spectively, based on the adaptive updating laws. Additionally, a numerical simulation is given to show the validity of the analytical results.

History

Event

IEEE Control Systems Society. Conference (55th : 2016 : Las Vegas, Nevada)

Series

IEEE Control Systems Society Conference

Pagination

3037 - 3041

Publisher

Institute of Electrical and Electronics Engineers

Location

Las Vegas, Nev.

Place of publication

Piscataway, N.J.

Start date

2016-12-12

End date

2016-12-14

ISBN-13

9781509018376

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2016, IEEE

Editor/Contributor(s)

A Astolfi

Title of proceedings

CDC 2016 : Proceedings of the 55th IEEE Conference on Decision and Control