Open AccessAdaptive non‐singular fast terminal sliding mode control for multi‐agent systems with unknown non‐linear dynamics
Author(s) -
Gu Xiaowei,
Niu Yugang,
Chen Bei
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.2019.1136
Subject(s) - control theory (sociology) , terminal sliding mode , convergence (economics) , terminal (telecommunication) , computer science , consistency (knowledge bases) , tracking (education) , function (biology) , radial basis function , linear system , sliding mode control , mode (computer interface) , artificial neural network , mathematics , control (management) , nonlinear system , artificial intelligence , telecommunications , mathematical analysis , physics , quantum mechanics , operating system , psychology , pedagogy , evolutionary biology , economics , biology , economic growth
This study considers the finite time consensus tracking problems for second‐order non‐linear multi‐agent system with the unknown dynamics. Firstly, the radial basis function neural networks are utilised to approximate the lumped unknown dynamic model. And then, to achieve the finite‐time consensus tracking, a distributed non‐singular fast terminal sliding mode control strategy is designed which can speed up the convergence of the multi‐agent system. Moreover, the consistency under the proposed control strategy is theoretically analysed and the upper bound of setting time is explicitly obtained. Finally, two simulation examples are provided.