Neural-based fixed-time composite learning control for multiagent systems with intermittent faults
In this paper, a distributed fixed-time composite learning control problem is addressed for nonlinear multiagent systems (MASs) subject to intermittent actuator faults. First, a distributed estimator is constructed for followers that are unable to communicate directly with the leader. Then, instead...
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Published in | Neurocomputing (Amsterdam) Vol. 599; p. 128135 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
28.09.2024
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Subjects | |
Online Access | Get full text |
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