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L. Marconi

29 papers hereh-index 438.2k citations328 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author13
  • last author13

Across the 28 of 29 papers where every author was matched, so the position is known.

fields
  • eess.SY15
  • math.OC12
  • cs.RO2
same name
  • L. Marconi — 10 papers, h 11
  • L. Marconi — 5 papers, h 1
  • L. Marconi — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20042022
most citedA High-Gain Nonlinear Observer with Limited Gain Power

211 citations · 378 across the 29 of their papers we have counts for

collaborators
Showing 2022 · math.OCShow all

4 papers · 2 filters

math.OC2022

Uniform non-convex optimisation via Extremum Seeking

Nicola Mimmo, Lorenzo Marconi, Giuseppe Notarstefano

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 prope…

math.OC2022

Extremum Seeking with Intermittent Measurements: A Lie-brackets Approach

Christophe Labar, Christian Ebenbauer, Lorenzo Marconi

Extremum seeking systems are powerful methods able to steer the input of a (dynamical) cost function towards an optimizer, without any prior knowledge of the cost function. To achi…

math.OC2022

Uniform quasi-convex optimisation via Extremum Seeking

Nicola Mimmo, Lorenzo Marconi, Giuseppe Notarstefano

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 prope…

math.OC2022★ 2 cited

Triggered Gradient Tracking for Asynchronous Distributed Optimization

Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi +1

This paper proposes Asynchronous Triggered Gradient Tracking, i.e., a distributed optimization algorithm to solve consensus optimization over networks with asynchronous communicati…

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