TY - GEN
T1 - Recognizing system parameters in stochastic complex networks using adaptive synchronization
AU - Tang, Ze
AU - Park, Ju H.
AU - Lee, Tae H.
AU - Jung, H. Y.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/27
Y1 - 2016/12/27
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85010817710
U2 - 10.1109/CDC.2016.7798723
DO - 10.1109/CDC.2016.7798723
M3 - Conference paper
AN - SCOPUS:85010817710
T3 - 2016 IEEE 55th Conference on Decision and Control, CDC 2016
SP - 3037
EP - 3041
BT - 2016 IEEE 55th Conference on Decision and Control, CDC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 55th IEEE Conference on Decision and Control, CDC 2016
Y2 - 12 December 2016 through 14 December 2016
ER -