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Multiobjective optimization in control with communication for decentralized discrete-event systems

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3 Author(s)
Sadid, W.H. ; Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada ; Ricker, S.L. ; Hashtrudi-Zad, S.

The trade-off between the cost and accuracy of a decentralized discrete-event control solution with synchronously communicating controllers is explored as a multiobjective optimization problem. We examine a class of problems where communication protocols are necessary to realize the exact control solution. In certain circumstances, it may be advantageous, from a cost perspective, to reduce communication, but incur a penalty for synthesizing an approximate control solution. A widely-used evolutionary algorithm (NSGA-II) is adapted to examine the set of Pareto-optimal solutions that arise for this family of decentralized discrete-event systems.

Published in:

Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on

Date of Conference:

12-15 Dec. 2011