In this section
@inproceedings{Al-Radhawi:2017:10.1109/ECC.2016.7810408,
author = {Al-Radhawi, MA and Angeli, D},
doi = {10.1109/ECC.2016.7810408},
pages = {928--935},
publisher = {IEEE},
title = {Construction of robust Lyapunov functions for reaction networks},
url = {http://dx.doi.org/10.1109/ECC.2016.7810408},
year = {2017}
}
TY - CPAPER
AB - Although Chemical Reaction Networks (CRNs) form a rich class of nonlinear systems that can exhibit wide range of nonlinear behaviours, many common examples are observed to be asymptotically stable regardless of the kinetics. This paper presents the recently uncovered class of Graphically Stable Networks (GSNs) which is characterized by the existence of a robust Lyapunov function defined in the reaction coordinates. Subject to mild conditions, the existence of these functions guarantees asymptotic stability of a network regardless of the specific form of kinetics. Construction methods for these functions are provided and illustrated by examples.
AU - Al-Radhawi,MA
AU - Angeli,D
DO - 10.1109/ECC.2016.7810408
EP - 935
PB - IEEE
PY - 2017///
SP - 928
TI - Construction of robust Lyapunov functions for reaction networks
UR - http://dx.doi.org/10.1109/ECC.2016.7810408
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000392695300155&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/50046
ER -