Distributed Adaptive Tracking Control for High-Order Nonlinear Multiagent Systems Over Event-Triggered Communication

In this article, we investigate the consensus problem for high-order nonlinear multiagent systems (MASs) with an uncertain leader under event-triggered communication. Compared with the existing consensus results for nonlinear MASs under event-triggered communication, the class of systems considered...

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Published in	IEEE transactions on automatic control Vol. 68; no. 2; pp. 1176 - 1183
Main Authors	Deng, Chao, Wen, Changyun, Wang, Wei, Li, Xinyao, Yue, Dong
Format	Journal Article
Language	English
Published	New York IEEE 01.02.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects	Adaptive control Asymptotic properties Backstepping Communication Estimators event-triggered communication Interpolation Monitoring Multiagent systems Network topology Nonlinear control Nonlinear systems Parameter estimation Parameter uncertainty Polynomials Reference signals Telecommunications Tracking control uncertain nonlinear systems Uncertainty
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Abstract	In this article, we investigate the consensus problem for high-order nonlinear multiagent systems (MASs) with an uncertain leader under event-triggered communication. Compared with the existing consensus results for nonlinear MASs under event-triggered communication, the class of systems considered is more general, while achieving better performance in term of asymptotic tracking. To estimate the unknown parameters of the uncertain leader, distributed intermediate parameter estimators based on event-triggered communication mechanism are first introduced. To guarantee that high-order derivatives exist when applying the backstepping method, such estimators are further modified to obtain final estimators having a polynomial form by using the Hermite interpolation method. Moreover, novel high-order filters are proposed to generate local reference signals and to ensure the existence of high-order derivatives of the filter states. Based on the developed filters, a backstepping-based decentralized adaptive controller is developed. It is proved that consensus errors are asymptotically convergent with the developed method. Finally, simulation examples are provided to show the effectiveness of the proposed method.
AbstractList	In this article, we investigate the consensus problem for high-order nonlinear multiagent systems (MASs) with an uncertain leader under event-triggered communication. Compared with the existing consensus results for nonlinear MASs under event-triggered communication, the class of systems considered is more general, while achieving better performance in term of asymptotic tracking. To estimate the unknown parameters of the uncertain leader, distributed intermediate parameter estimators based on event-triggered communication mechanism are first introduced. To guarantee that high-order derivatives exist when applying the backstepping method, such estimators are further modified to obtain final estimators having a polynomial form by using the Hermite interpolation method. Moreover, novel high-order filters are proposed to generate local reference signals and to ensure the existence of high-order derivatives of the filter states. Based on the developed filters, a backstepping-based decentralized adaptive controller is developed. It is proved that consensus errors are asymptotically convergent with the developed method. Finally, simulation examples are provided to show the effectiveness of the proposed method.
Author	Wen, Changyun Yue, Dong Li, Xinyao Wang, Wei Deng, Chao
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SubjectTerms	Adaptive control Asymptotic properties Backstepping Communication Estimators event-triggered communication Interpolation Monitoring Multiagent systems Network topology Nonlinear control Nonlinear systems Parameter estimation Parameter uncertainty Polynomials Reference signals Telecommunications Tracking control uncertain nonlinear systems Uncertainty
Title	Distributed Adaptive Tracking Control for High-Order Nonlinear Multiagent Systems Over Event-Triggered Communication
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