Precise control for the size of droplet in T-junction microfluidic based on iterative learning method

DOI10.1016/J.JFRANKLIN.2020.02.046zbMath1441.93081OpenAlexW3008995826MaRDI QIDQ776124

Kang Wang, Hejia Sun, Xingyuan Liang, Yaolei Wang, Tao Meng, Deqing Huang

Publication date: 30 June 2020

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

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.02.046

Mathematics Subject Classification ID

Application models in control theory (93C95) Iterative learning control (93B47)

Related Items (1)

Event-triggered learning consensus of networked heterogeneous nonlinear agents with switching topologies

Cites Work

• Cooperative control of a nonuniform gantry crane with constrained tension

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