TY - GEN

T1 - Event-triggered strategies for decentralized model predictive controllers

AU - Eqtami, Alina

AU - Dimarogonas, Dimos V.

AU - Kyriakopoulos, Kostas J.

PY - 2011

Y1 - 2011

N2 - In this paper, novel event-triggered strategies for the design of model predictive (MPC) controllers are presented. The MPC framework consists in finding the solution to a constraint optimal-control problem at every time-step. The case of triggering the optimization of the MPC only when is needed, is investigated. The centralized case is treated first and the results are then extended to a decentralized formulation. We consider a system composed by a number of interconnected subsystems, each one of them controlled by a robust MPC algorithm. Using the Input-to-State (ISS) property of the decentralized MPC controller we reach to an event-triggering rule, for each of the subsystems.

AB - In this paper, novel event-triggered strategies for the design of model predictive (MPC) controllers are presented. The MPC framework consists in finding the solution to a constraint optimal-control problem at every time-step. The case of triggering the optimization of the MPC only when is needed, is investigated. The centralized case is treated first and the results are then extended to a decentralized formulation. We consider a system composed by a number of interconnected subsystems, each one of them controlled by a robust MPC algorithm. Using the Input-to-State (ISS) property of the decentralized MPC controller we reach to an event-triggering rule, for each of the subsystems.

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U2 - 10.3182/20110828-6-IT-1002.03540

DO - 10.3182/20110828-6-IT-1002.03540

M3 - Conference contribution

AN - SCOPUS:84866772596

SN - 9783902661937

T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)

SP - 10068

EP - 10073

BT - Proceedings of the 18th IFAC World Congress

PB - IFAC Secretariat

ER -