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Data-Driven Distributed Predictive Tracking Control for Heterogeneous Nonlinear Multiagent Systems With Communication Delays | IEEE Journals & Magazine | IEEE Xplore

Data-Driven Distributed Predictive Tracking Control for Heterogeneous Nonlinear Multiagent Systems With Communication Delays


Abstract:

This article focuses on the consensus and tracking problem of nonlinear multiagent systems under communication delays, and proposes a distributed predictive control schem...Show More

Abstract:

This article focuses on the consensus and tracking problem of nonlinear multiagent systems under communication delays, and proposes a distributed predictive control scheme, which is independent of the system model and able to actively compensate for communication delays. First, a consensus-related auxiliary variable and its corresponding estimator are innovatively designed to provide a globally consistent value. Then, the idea of dynamic linearization is adopted to obtain the equivalent linear dynamics of nonlinear agents. Furthermore, a distributed predictive controller is designed with the help of the auxiliary variables and the acquired time-varying linear system model. Compared with the existing schemes, the proposed controller compensates for the delayed signals in an active way, makes the traditional model-based predictive control method get rid of the dependence on the accurate system model, and carries out the rolling prediction in a distributed form. A stability analysis of the closed-loop system is given to illustrate the generality of the designed method. Finally, a numerical simulation verifies the effectiveness of the proposed method.
Published in: IEEE Transactions on Automatic Control ( Volume: 69, Issue: 7, July 2024)
Page(s): 4786 - 4792
Date of Publication: 23 January 2024

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