TY - GEN
T1 - Finding non-polynomial positive invariants and lyapunov functions for polynomial systems through Darboux polynomials
AU - Goubault, Eric
AU - Jourdan, Jacques Henri
AU - Putot, Sylvie
AU - Sankaranarayanan, Sriram
PY - 2014/1/1
Y1 - 2014/1/1
N2 - In this paper, we focus on finding positive invariants and Lyapunov functions to establish reachability and stability properties, respectively, of polynomial ordinary differential equations (ODEs). In general, the search for such functions is a hard problem. As a result, numerous techniques have been developed to search for polynomial differential variants that yield positive invariants and polynomial Lyapunov functions that prove stability, for systems defined by polynomial differential equations. However, the systematic search for non-polynomial functions is considered a much harder problem, and has received much less attention. In this paper, we combine ideas from computer algebra with the Sum-Of-Squares (SOS) relaxation for polynomial positive semi-definiteness to find non polynomial differential variants and Lyapunov functions for polynomial ODEs. Using the well-known concept of Darboux polynomials, we show how Darboux polynomials can, in many instances, naturally lead to specific forms of Lyapunov functions that involve rational function, logarithmic and exponential terms.We demonstrate the value of our approach by deriving non-polynomial Lyapunov functions for numerical examples drawn from the literature.
AB - In this paper, we focus on finding positive invariants and Lyapunov functions to establish reachability and stability properties, respectively, of polynomial ordinary differential equations (ODEs). In general, the search for such functions is a hard problem. As a result, numerous techniques have been developed to search for polynomial differential variants that yield positive invariants and polynomial Lyapunov functions that prove stability, for systems defined by polynomial differential equations. However, the systematic search for non-polynomial functions is considered a much harder problem, and has received much less attention. In this paper, we combine ideas from computer algebra with the Sum-Of-Squares (SOS) relaxation for polynomial positive semi-definiteness to find non polynomial differential variants and Lyapunov functions for polynomial ODEs. Using the well-known concept of Darboux polynomials, we show how Darboux polynomials can, in many instances, naturally lead to specific forms of Lyapunov functions that involve rational function, logarithmic and exponential terms.We demonstrate the value of our approach by deriving non-polynomial Lyapunov functions for numerical examples drawn from the literature.
KW - Algebraic/geometric methods
KW - Computational methods
KW - Stability of nonlinear systems
U2 - 10.1109/ACC.2014.6859330
DO - 10.1109/ACC.2014.6859330
M3 - Conference contribution
AN - SCOPUS:84905715718
SN - 9781479932726
T3 - Proceedings of the American Control Conference
SP - 3571
EP - 3578
BT - 2014 American Control Conference, ACC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 American Control Conference, ACC 2014
Y2 - 4 June 2014 through 6 June 2014
ER -