Open AccessSet‐point output tracking problem for linear plants via periodic event‐triggered control
Author(s) -
Yu Hao,
Hao Fei
Publication year - 2020
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.2019.0536
Subject(s) - control theory (sociology) , controller (irrigation) , observer (physics) , actuator , tracking (education) , event (particle physics) , computer science , signal (programming language) , set (abstract data type) , control (management) , mathematics , artificial intelligence , psychology , pedagogy , physics , quantum mechanics , programming language , agronomy , biology
This study addresses event‐triggered tracking control for linear systems with constant reference signals and disturbances. A remote observer‐based proportional–integral controller, which communicates with the plant only at some discrete instants, is designed. The transmissions, involving both the sensor‐to‐controller and the controller‐to‐actuator channels, are scheduled by periodic event‐triggered control. A new kind of summation‐based triggering condition is proposed which can ensure that there exists a positive minimum inter‐event time uniformly for a family of controllers parameterised by the verification periods. Then, it is proved that the proposed periodic event‐triggered control can solve the set‐point tracking problem asymptotically without the assumption that the reference signal is accessible to the sensor. Finally, simulation results are provided to illustrate the efficiency and feasibility of the obtained results.