Open AccessEvent‐based model‐free adaptive control for discrete‐time non‐linear processes
Author(s) -
Liu Dong,
Yang GuangHong
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.2016.1672
Subject(s) - control theory (sociology) , adaptive control , bounded function , signal (programming language) , sampling (signal processing) , event (particle physics) , computer science , discrete time and continuous time , scheme (mathematics) , mathematics , control (management) , artificial intelligence , detector , statistics , physics , quantum mechanics , mathematical analysis , telecommunications , programming language
In this study, a novel event‐based model‐free adaptive control (MFAC) algorithm for discrete‐time non‐linear systems is presented. Different from the traditional MFAC scheme which calculates the control signal at fixed sampling instants, an event‐based sampling scheme is given to calculate the new control signal only when the input/output (I/O) data sufficiently changes. The event‐triggered MFAC can obviously reduce the computational load and network communication. The closed‐loop system is proven to be ultimately bounded by using the Lyapunov technique. Finally, the simulation examples indicate the effectiveness and applicability of the proposed event‐trigger model‐free adaptive control algorithm.