학술논문

Event-Triggered Fixed-Time Adaptive Fuzzy Control for Nontriangular Nonlinear Systems With Unknown Control Directions
Document Type
Periodical
Source
IEEE Transactions on Artificial Intelligence IEEE Trans. Artif. Intell. Artificial Intelligence, IEEE Transactions on. 5(5):2397-2409 May, 2024
Subject
Computing and Processing
Nonlinear systems
Backstepping
Fuzzy control
Uncertainty
Convergence
Fuzzy logic
Artificial intelligence
Command filtered backstepping (CFB)
event-triggered control
fixed-time control
unknown control directions (UCDs)
Language
ISSN
2691-4581
Abstract
This article focuses on the problem of fixed-time adaptive fuzzy control for a class of nontriangular nonlinear systems with unknown control directions under the event-triggered framework. To tackle the algebraic loop issue arising from the nontriangular structure, the property of the fuzzy logic system is employed. The command filter and the error compensation signals, which have the feature of fixed-time convergence, are constructed to eliminate the “explosion of complexity” phenomenon and the effect of filtered error, respectively. By integrating the Nussbaum gain technique into the relative threshold-based event-triggered mechanism, a singularity-free fixed-time adaptive fuzzy control scheme is devised to ensure that the closed-loop system is practically fixed-time stable, and the tracking error converges to a small region near the origin in a fixed time. Finally, simulation examples are presented to demonstrate the effectiveness and superiority of the proposed fixed-time control algorithm.