Open AccessEvent‐triggered robust adaptive control for discrete time uncertain systems with unmodelled dynamics and disturbances
Author(s) -
Zhuang Wenxiu,
Wen Changyun,
Zhou Jing,
Liu Zhitao,
Su Hongye
Publication year - 2019
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.2019.0308
Subject(s) - control theory (sociology) , robustness (evolution) , adaptive control , bounded function , robust control , computer science , control engineering , controller (irrigation) , stability (learning theory) , control system , engineering , control (management) , mathematics , artificial intelligence , gene , mathematical analysis , agronomy , biochemistry , chemistry , machine learning , biology , electrical engineering
In practice, modelling errors caused by high‐order unmodelled dynamics and external disturbances are unavoidable. How to ensure the robustness of an adaptive controller with respect to such modelling errors is always a critical concern. In this study, the authors consider the design of event‐triggered robust adaptive control for a class of discrete‐time uncertain systems which involve such modelling errors and also are allowed to be non‐minimum phase. Unlike some existing event‐triggered control schemes, the developed controllers do not require that the measurement errors meet the corresponding input‐to‐state stable condition. Global stability of the closed‐loop system which means that all the signals are bounded is established in the presence of unmodelled dynamics and disturbances. Besides, in contrast to existing robust adaptive schemes, the designed adaptive controller does not involve parameters related to unmodelled dynamics and disturbances which are difficult to be chosen for ensuring such stability. An example is given to verify the effectiveness of the proposed control strategy.