TY - JOUR
T1 - A sufficient condition for the super-linearization of polynomial systems
AU - Belabbas, Mohamed Ali
AU - Chen, Xudong
N1 - M.-A. Belabbas was supported partially by grants AFOSR, United States of AmericaFA9550-20-1-0333 and National Science Foundation, United States of AmericaCCF-2106358. Xudong Chen was supported partially by grants National Science Foundation, United States of AmericaECCS-2042360 and AFOSR, United States of AmericaFA9550-20-1-0076.
M.-A. Belabbas was supported partially by grants AFOSR, United States of America FA9550-20-1-0333 and National Science Foundation, United States of America CCF-2106358 . Xudong Chen was supported partially by grants National Science Foundation, United States of America ECCS-2042360 and AFOSR, United States of America FA9550-20-1-0076 .
PY - 2023/9
Y1 - 2023/9
N2 - We provide in this paper a sufficient condition for a polynomial dynamical system ẋ(t)=f(x(t)) to be super-linearizable, i.e., to be such that all its trajectories are linear projections of the trajectories of a linear dynamical system. The condition is expressed in terms of the hereby introduced weighted dependency graph G, whose nodes vi correspond to variables xi and edges vivj have weights [Formula presented]. We show that if the product of the edge weights along any cycle in G is a constant, then the system is super-linearizable. The proof is constructive, and we provide an algorithm to obtain super-linearizations and illustrate it on an example. Our result also provides a partial answer to an open question about polyflows.
AB - We provide in this paper a sufficient condition for a polynomial dynamical system ẋ(t)=f(x(t)) to be super-linearizable, i.e., to be such that all its trajectories are linear projections of the trajectories of a linear dynamical system. The condition is expressed in terms of the hereby introduced weighted dependency graph G, whose nodes vi correspond to variables xi and edges vivj have weights [Formula presented]. We show that if the product of the edge weights along any cycle in G is a constant, then the system is super-linearizable. The proof is constructive, and we provide an algorithm to obtain super-linearizations and illustrate it on an example. Our result also provides a partial answer to an open question about polyflows.
KW - Carleman linearization
KW - Koopman linearization
KW - Nonlinear systems
KW - Super-linearization
UR - https://www.scopus.com/pages/publications/85166287690
UR - https://www.scopus.com/pages/publications/85166287690#tab=citedBy
U2 - 10.1016/j.sysconle.2023.105588
DO - 10.1016/j.sysconle.2023.105588
M3 - Article
AN - SCOPUS:85166287690
SN - 0167-6911
VL - 179
JO - Systems and Control Letters
JF - Systems and Control Letters
M1 - 105588
ER -