Abstract
This article concentrates on the prescribed performance control problem of nonlinear time-varying delay (TD) multiagent systems (MASs). This problem is more challenging to address when considering unstructured uncertainties and immeasurable states. By applying the approximation ability of a fuzzy logic system (FLS), a fuzzy state observer is reconstructed. Furthermore, a Lyapunov-Krasovskii functional is employed to cope with TD, after which an FLS-based adaptive prescribed finite-time control scheme, which enables the convergence time and region to be predetermined, is presented. Meanwhile, the boundedness of the signals is guaranteed. Theoretical studies and practical simulations were performed to certify the validity of the presented algorithm.
Original language | English |
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Pages (from-to) | 1165-1175 |
Number of pages | 11 |
Journal | IEEE Transactions on Network Science and Engineering |
Volume | 11 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2024 Jan 1 |
Bibliographical note
Publisher Copyright:© 2013 IEEE.
Keywords
- Prescribed finite-time control
- output feedback
- time-varying delays(TD)
- uncertain nonlinear multiagent systems(MASs)
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Computer Networks and Communications