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Stability conditions for decentralized model predictive control under packet drop communication

Alessio, Alessandro and Bemporad, Alberto Stability conditions for decentralized model predictive control under packet drop communication. In: American Control Conference. IEEE, 11th - 13th June 2008, pp. 3577-3582. ISBN 978-1-4244-2078-0 (2008)

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We propose a decentralized model predictive control (MPC) design approach for possibly large-scale processes whose structure may not be dynamically decoupled. The decoupling assumption only appears in the prediction models used by the different MPC control agents. In [1] we presented a sufficient criterion for analyzing a posteriori the asymptotic stability of the process model in closed-loop with the set of decentralized MPC controllers. The communication model among neighboring MPC controllers was supposed faultless, so that each MPC could successfully receive the information about the states of its corresponding submodel. Here we present a sufficient condition for ensuring closed-loop stability of the overall closed-loop system when a certain number of packets containing state measurements may be lost.

Item Type: Book Section
Identification Number: 10.1109/ACC.2008.4587048
Uncontrolled Keywords: asymptotic stability; closed-loop stability; closed-loop system; decentralized model predictive control; large-scale processes; packet drop communication; stability conditions; asymptotic stability; closed loop systems; decentralised control; large-scale systems; predictive control
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Computer Science and Applications
Depositing User: Professor Alberto Bemporad
Date Deposited: 27 Jul 2011 08:34
Last Modified: 08 Jul 2014 12:41
URI: http://eprints.imtlucca.it/id/eprint/618

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