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Published in 2025 at "Asian Journal of Control"
DOI: 10.1002/asjc.3839
Abstract: In this paper, a sliding‐mode fault‐tolerant control scheme based on a composite learning observer for hypersonic reentry vehicle is proposed. The observer is developed to achieve fault detection by observing the system state and the…
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Keywords:
learning observer;
control;
based composite;
composite learning ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.03.022
Abstract: Abstract This paper investigates a composite learning controller for hypersonic longitudinal flight dynamics in presence of unknown dynamics. Different from previous designs, the controller is proposed without back-stepping through model transformation. This strategy simplifies the…
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Keywords:
composite learning;
control;
based robust;
observer based ... See more keywords
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Published in 2024 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2023.3344675
Abstract: For the existing adaptive robot control methods considering kinematic and dynamic uncertainties, the strict persistent excitation is necessary for parameter convergence. To alleviate this stringent constraint and improve identification and tracking capabilities, a composite learning…
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Keywords:
kinematics;
control;
composite learning;
kinematics dynamics ... See more keywords
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Published in 2025 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2025.3539299
Abstract: In this paper, a distributed composite learning dynamic event-triggered (ET) control protocol is presented for nonlinear multi-agent power systems (NMAPSs) in the presence of switching topologies, uncertain nonlinearities, external disturbances and limited network resources. A…
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Keywords:
event triggered;
control;
learning dynamic;
composite learning ... See more keywords
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Published in 2025 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2025.3559961
Abstract: Composite learning can guarantee the exponential stability of adaptive robot control under a condition termed interval excitation (IE) that is strictly weaker than the classical condition of persistent excitation. However, existing composite learning robot control…
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Keywords:
learning robot;
event triggered;
composite learning;
robot control ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3190286
Abstract: This article proposes a distributed consensus tracking controller for a class of nonlinear multiagent systems under a directed graph, in which all agents are subject to time-varying asymmetric full-state constraints, internal uncertainties, and external disturbances.…
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Keywords:
full state;
state;
condition;
feasibility condition ... See more keywords