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| Dynamic Event Triggered Based Model-free Iterative Bipartite Consensus Control for MASs with Disturbance |
| MAO Zixiang, HOU Zhongsheng
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| College of Automation, Qingdao University, Qingdao 266071, China |
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Abstract A data-driven control scheme based on dynamic event triggered strategy is proposed for bipartite consensus control of complex nonlinear MASs with unmeasurable external disturbance. The dynamic model of MASs with external disturbances is transformed into an equivalent data model using pseudo partial derivative, and radial basis function neural network is used to estimate the variation of unmeasured external disturbance. Based on the above data model, utilizing model free adaptive iterative learning algorithm combined with dynamic event triggered strategy, a dynamic event triggered based model-free iterative bipartite consensus control scheme is proposed. Then, the stability analysis of the proposed control scheme is given. The effectiveness of this control scheme is verified by simulation.
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Received: 20 June 2023
Published: 27 April 2025
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