Robust PID design by chance-constrained optimization

DOI10.1016/j.jfranklin.2017.10.017zbMath1380.93114OpenAlexW2768020835MaRDI QIDQ682695

Pedro Mercader, Kristian Soltesz, Baños, Alfonso

Publication date: 5 February 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://lup.lub.lu.se/record/fc9dc96f-2a07-4a43-a06d-53994ae571c9

zbMATH Keywords

synthesisgradient-based algorithmdeterministic optimization problemmaximization of integral gain optimization (MIGO)probabilistic parametric uncertaintyproportional-integral-derivative (PID) controllersrandomized algorithms (RAs)

Mathematics Subject Classification ID

Synthesis problems (93B50) Stochastic systems in control theory (general) (93E03) Mechanization of proofs and logical operations (03B35)

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Uses Software

• nwSpGr

Cites Work

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