New Insights on One-Sided Lipschitz and Quadratically Inner-Bounded Nonlinear Dynamic Systems
Abstract
Nonlinear dynamic systems can be classified into various classes depending on the modeled nonlinearity. These classes include Lipschitz, bounded Jacobian, one-sided Lipschitz (OSL), and quadratically inner-bounded (QIB). Such classes essentially yield bounding constants characterizing the nonlinearity. This is then used to design observers and controllers through Riccati equations or matrix inequalities. While analytical expressions for bounding constants of Lipschitz and bounded Jacobian nonlinearity are studied in the literature, OSL and QIB classes are not thoroughly analyzed---computationally or analytically. In short, this paper develops analytical expressions of OSL and QIB bounding constants. These expressions are posed as constrained maximization problems, which can be solved via various optimization algorithms. This paper also presents a novel insight particularly on QIB function set: any function that is QIB turns out to be also Lipschitz continuous.
Cite
@article{arxiv.2002.02361,
title = {New Insights on One-Sided Lipschitz and Quadratically Inner-Bounded Nonlinear Dynamic Systems},
author = {Sebastian A. Nugroho and Vu Hoang and Maria Radosz and Shen Wang and Ahmad F. Taha},
journal= {arXiv preprint arXiv:2002.02361},
year = {2020}
}
Comments
To Appear in the 2020 American Control Conference (ACC'2020), Denver, Colorado, July 2020