Open AccessAdaptive decentralised control of fluid networks with random disturbances
Author(s) -
Zhu Song,
Wang Min,
Liu Yingke
Publication year - 2017
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2016.1520
Subject(s) - control theory (sociology) , stability (learning theory) , adaptive control , computer science , control (management) , exponential stability , mathematics , control engineering , engineering , nonlinear system , artificial intelligence , physics , quantum mechanics , machine learning
This study is devoted to control of fluid networks subject to random disturbance. Adopting stochastic differential equation theory, an improved model is presented to incorporate not only the non‐linearities induced by fan branch but also random disturbances. On the basis of the model, combining decentralised control and adaptive control techniques, the mean square exponential stability is proposed. According to the proposed stability, the desired equilibrium of fluid flows could be ensured by setting controllers just related to links. Two engineering examples are provided to show the effectiveness of the proposed method.