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Parameter identification based on artificial intelligence optimization and distributed tracking control of fractional-order multi-agent systems

Abstract : This thesis deals with the parameter identification from the viewpoint of optimization and distributed tracking control of fractional-order multi-agent systems (FOMASs) considering time delays, external disturbances, inherent nonlinearity, parameters uncertainties, and heterogeneity under fixed undirected/directed communication topology. Several efficient controllers are designed to achieve the distributed tracking control of FOMASs successfully under different conditions. Several kinds of artificial intelligence optimization algorithms andtheir modified versions are applied to identify the unknown parameters of the FOMASs with high accuracy, fast convergence and strong robustness. It should be noted that this thesis provides a promising link between the artificial intelligence technique and distributed control.
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Submitted on : Friday, December 6, 2019 - 4:46:09 PM
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Wei Hu. Parameter identification based on artificial intelligence optimization and distributed tracking control of fractional-order multi-agent systems. Automatic Control Engineering. Ecole Centrale de Lille, 2019. English. ⟨NNT : 2019ECLI0008⟩. ⟨tel-02397785⟩

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