English

Uniform non-convex optimisation via Extremum Seeking

Optimization and Control 2022-06-07 v1

Abstract

The paper deals with a well-known extremum seeking scheme by proving uniformity properties with respect to the amplitudes of the dither signal and of the cost function. Those properties are then used to show that the scheme guarantees the global minimiser to be semi-global practically stable despite the presence of local minima. Under the assumption of a globally Lipschitz cost function, it is shown that the scheme, improved through a high-pass filter, makes the global minimiser practically stable with a global domain of attraction.

Keywords

Cite

@article{arxiv.2206.02313,
  title  = {Uniform non-convex optimisation via Extremum Seeking},
  author = {Nicola Mimmo and Lorenzo Marconi and Giuseppe Notarstefano},
  journal= {arXiv preprint arXiv:2206.02313},
  year   = {2022}
}

Comments

arXiv admin note: substantial text overlap with arXiv:2204.00580

R2 v1 2026-06-24T11:39:56.445Z