Abstract
This paper presents a new dissipativity-based decentralized model predictive control strategy for networks of linear systems suffering from a bounded coupling delay. The notion of delay-robust dissipativity is introduced and applied to the development of interconnection stability conditions. The dissipation inequality of system trajectories is converted into a prognostic stability constraint for the optimization problem of model predictive control to guarantee the system stability. A recursive feasibility condition is derived for the constrained optimization problem, which is formulated in a semi-definite program. A numerical example of an interconnected three-unit process system is provided for illustrations.
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We greatly thank the anonymous reviewers for their comments that have helped improve the paper presentation.
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Communicated by Kok Lay Teo.
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Tran, T., Ha, Q.P. Decentralized Model Predictive Control for Networks of Linear Systems with Coupling Delay. J Optim Theory Appl 161, 933–950 (2014). https://doi.org/10.1007/s10957-013-0379-4
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DOI: https://doi.org/10.1007/s10957-013-0379-4