Research paper

Safer quadrotor tuning with constrained Bayesian search

Adaptive particle-swarm discretization makes constrained Bayesian parameter search more tractable. The primary abstract reports tuning an L1 adaptive controller on a quadrotor in experiments.

Reviewed 2026-11-05 · Source and bibliography checked

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Original title: Constrained Bayesian Optimization with Particle Swarms for Safe Adaptive Controller Tuning
Publisher: Elsevier BV
Authors: Rikky R.P.R. Duivenvoorden, Felix Berkenkamp, Nicolas Carion, Andreas Krause, Angela P. Schoellig
DOI: 10.1016/j.ifacol.2017.08.1991
Publication date: 2017-07
Source language: en
Edition: IFAC-PapersOnLine50(1),11800–11807;2017
Access: Publisher metadata and open author manuscript
Publication status: Published

Source overview

Adaptive particle-swarm discretization makes constrained Bayesian parameter search more tractable. The primary abstract reports tuning an L1 adaptive controller on a quadrotor in experiments.

Use and review

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Sources & editions

Constrained Bayesian Optimization with Particle Swarms for Safe Adaptive Controller Tuning ↗

Elsevier BV · IFAC-PapersOnLine50(1),11800–11807;2017

Publisherindexedabstract plus author-lab first-page manuscriptabstract checked via web. Live directpublisher requestblocked. Publisherpage11800–11807 controls over inconsistent author-labpublicationlist12306–12313.