Adaptive fixed-time fuzzy containment control for uncertain nonlinear multiagent systems with unmeasurable states

Autor: Ruixia Liu, Lei Xing, Yongjian Zhong, Hong Deng, Weichao Zhong
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Druh dokumentu: article
ISSN: 2045-2322
89784634
DOI: 10.1038/s41598-024-66385-3
Popis: Abstract This paper addresses the adaptive fixed-time fuzzy containment control for uncertain nonlinear multiagent systems, where the states and nonlinear functions are not feasible for the controller design. To address the issue of unmeasurable states, a state observer is developed, and fuzzy logic systems are utilized to approximate unknown nonlinear functions. Under the framework of fixed-time Lyapunov function theory and cooperative control, an adaptive fixed-time fuzzy containment control protocol is derived via the adaptive backstepping and adding one power integrator method. The derived fixed-time containment controller can confirm that the closed-loop systems are practical fixed-time stable, which implies that all signals in the systems are bounded and all follower agents can converge to the convex hull formed by the leader agents within fixed-time in the presence of unmeasurable states and unknown nonlinear functions . Simulation examples are conducted to test the validity of the present control algorithm.
Databáze: Directory of Open Access Journals
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