PID tuning using extremum seeking: online, model-free performance optimization
By Nick J. Killingsworth, Miroslav Krstic. IEEE Control Systems, 2006
367 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/b97d8b71b65594cde810dfbcce905d7489d862ea
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Cédric Join
- Andreas Krause
- Felix Berkenkamp
- Angela P. Schoellig
- Michel Fliess
- Hebertt Sira-Ramírez
- Melanie Nicole Zeilinger
- Lukas Hewing
Citations in the corpus
- Model-free control (2013, background): “…see, e.g., Bilal Kadri (2009); Chang, Gao & Gu (2011); Hahn & Oldham (2012); Hong-wei, Rong-min & Hui-xing (2011); Keel & Bhattacharyya (2008); Killingsworth & Krstic (2006); Malis & Chaumette (2002); dos Santos Coelho, Wicthoff Pessˆoa, Rodrigues Sumar & Rodrigues Coelho (2010); Spall &…”
- Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics (2016, neutral): “…algorithms in the literature do not consider safety of the optimization process, and make other restrictive assumptions such as requiring gradients (Killingsworth and Krsti´c 2006; ˚Astr¨om et al. 1993), which are difficult to obtain from noisy data, or an impractical number of experiments (Davidor…”
- Safe controller optimization for quadrotors with Gaussian processes (2015, methodology): “Classical approaches to automate this process, such as the ones in [2] and [3], either rely on model assumptions (e.”