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Article Dans Une Revue IEEE Transactions on Automatic Control Année : 2022

Control of Average and Deviation in Large-Scale Linear Networks

Denis Nikitin
Paolo Frasca

Résumé

This paper deals with the problem of controlling the average state of a large-scale linear network to a constant reference value. We design an output-feedback controller such that no information about state vector or system matrices is needed. For this controller to have arbitrary positive gains, it is sufficient that only a sign condition on system matrices should be satisfied. To assure that the states of the network are close to the average state, the problem of deviation minimization is solved in addition, using a novel extremum seeking algorithm.
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Dates et versions

hal-03170606 , version 1 (16-03-2021)

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Denis Nikitin, Carlos Canudas de Wit, Paolo Frasca. Control of Average and Deviation in Large-Scale Linear Networks. IEEE Transactions on Automatic Control, 2022, 67 (4), pp.1639-1654. ⟨10.1109/TAC.2021.3065191⟩. ⟨hal-03170606⟩
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