Second-order Dynamical Systems with Fixed-time Convergence for Fixed Points of Lipschitz Operators
Abstract This paper is devoted to developing novel second-order time-varying dynamical systems with fixed-time convergence for nonsmooth optimization problems. We first propose a second-order dynamical system to locate a fixed point of Lipschitz continuous operators within a fixed time. The existence and uniqueness of solutions for this dynamical system are established, followed by a convergence analysis through the construction of a Lyapunov function. We then present an alternative second-order fixed-time convergent dynamical system for finding the fixed point of contraction operators, which not only features a simpler structure but also offers more flexible parameters. Finally, we employ the proposed dynamical systems to solve both generalized monotone inclusion problems and nonsmooth additive composite optimization problems.
Authors
- Andrew Eberhard (ORCID: https://orcid.org/0000-0003-2977-3456)
- Chaojie Li (ORCID: https://orcid.org/0000-0002-0557-1481)
- Xinghuo Yu (ORCID: https://orcid.org/0000-0001-8093-9787)
- Lien T. Nguyen (ORCID: https://orcid.org/0009-0003-7128-3669)
Institutions
- UNSW Sydney (AU)
- RMIT University (AU)
Publication Details
- Journal
- Journal of Scientific Computing
- Published
- 2026-04-27
- DOI
- https://doi.org/10.1007/s10915-026-03297-6
- Primary Topic
- Optimization and Variational Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Australian Research Council