Command-filtered adaptive containment control of fractional-order multi-agent systems via event-triggered mechanism

In this paper, the containment control problem of a class of fractional-order nonlinear multi-agent systems is studied, in which the multi-agent system contains unmeasured states and system nonlinearity. An adaptive neural network backstepping controller combined with event-triggered mechanism is pr...

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Bibliographic Details
Published in:Transactions of the Institute of Measurement and Control 2023-06, Vol.45 (9), p.1646-1660
Main Authors: Chen, Tao, Yuan, Jiaxin
Format: Article
Language:English
Subjects:
Adaptive control
Closed loops
Containment
Control methods
Convexity
Feedback control
Mathematical analysis
Multiagent systems
Neural networks
Nonlinear systems
Nonlinearity
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Summary:In this paper, the containment control problem of a class of fractional-order nonlinear multi-agent systems is studied, in which the multi-agent system contains unmeasured states and system nonlinearity. An adaptive neural network backstepping controller combined with event-triggered mechanism is proposed to ensure all followers can converge to the convex hull spanned by the leaders. The command filter is introduced into the proposed fractional-order control system to obtain fractional derivatives for virtual control functions continuously and avoid “explosion of complexity.” From the Lyapunov stability theory, all the signals can remain semi-global uniformly ultimately bounded in the closed-loop system. Numerical example and simulation results confirm the feasibility of the proposed control method.
ISSN:0142-3312
1477-0369
DOI:10.1177/01423312221137618