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Input-to-State Stability of Packetized Predictive Control Over Unreliable Networks Affected by Packet-Dropouts

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2 Author(s)
Daniel E. Quevedo ; School of Electrical Engineering & Computer Science, The University of Newcastle, Callaghan, Australia ; Dragan Nesic

This work studies a predictive networked control scheme in which packets containing optimizing sequences of control inputs are sent over an unreliable communication network affected by data-loss. We show that, provided the number of consecutive packet losses is bounded, input-to-state stability can be ensured by appropriate choice of design parameters. Our results apply to the general case of constrained nonlinear plants which are affected by uncertain and unmeasured disturbances.

Published in:

IEEE Transactions on Automatic Control  (Volume:56 ,  Issue: 2 )