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Lin Song

9 papers hereh-index 573 citations16 works total

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

author position
  • first author5
  • middle author4

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • eess.SY6
  • cs.RO3
same name
  • Lin Song — 25 papers, h 10
  • Lin Song — 12 papers, h 13
  • Lin Song — 4 papers, h 4
  • Lin Song — 1 paper, h 5
  • Lin Song — 1 paper, h 4
  • Lin Song — 1 paper, h 2

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
20202024
most citedDiffTune: Auto-Tuning through Auto-Differentiation

7 citations · 13 across the 9 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.RO2022★ 3 cited

DiffTune+: Hyperparameter-Free Auto-Tuning using Auto-Differentiation

Sheng Cheng, Lin Song, Minkyung Kim +2

Controller tuning is a vital step to ensure the controller delivers its designed performance. DiffTune has been proposed as an automatic tuning method that unrolls the dynamical sy…

eess.SY2022

Safety Embedded Stochastic Optimal Control of Networked Multi-Agent Systems via Barrier States

Lin Song, Pan Zhao, Neng Wan +1

This paper presents a novel approach for achieving safe stochastic optimal control in networked multi-agent systems (MASs). The proposed method incorporates barrier states (BaSs) i…

cs.RO2022★ 7 cited

DiffTune: Auto-Tuning through Auto-Differentiation

Sheng Cheng, Minkyung Kim, Lin Song +4

The performance of robots in high-level tasks depends on the quality of their lower-level controller, which requires fine-tuning. However, the intrinsically nonlinear dynamics and…

eess.SY2022★ 1 cited

Simplified Analysis on Filtering Sensitivity Trade-offs in Continuous- and Discrete-Time Systems

Neng Wan, Dapeng Li, Lin Song +1

A simplified analysis is performed on the Bode-type filtering sensitivity trade-off integrals, which capture the sensitivity characteristics of the estimate and estimation error wi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.