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Mathematics 2018, 6(5), 65; https://doi.org/10.3390/math6050065

Economic Model Predictive Control with Zone Tracking

Department of Chemical & Materials Engineering, University of Alberta, Edmonton, AB T6G 2V4, Canada
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Received: 1 April 2018 / Revised: 22 April 2018 / Accepted: 23 April 2018 / Published: 25 April 2018
(This article belongs to the Special Issue New Directions on Model Predictive Control)
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Abstract

In this work, we propose a framework for economic model predictive control (EMPC) with zone tracking. A zone tracking stage cost is incorporated into the existing EMPC framework to form a multi-objective optimization problem. We provide sufficient conditions for asymptotic stability of the optimal steady state and characterize the exact penalty for the zone tracking cost which prioritizes zone tracking objective over economic objective. Moreover, an algorithm to modify the target zone based on the economic performance and reachability of the optimal steady state is proposed. The modified target zone effectively decouples the dynamic zone tracking and economic objectives and simplifies parameter tuning. View Full-Text
Keywords: predictive control; process optimization; soft constraint; zone control predictive control; process optimization; soft constraint; zone control
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Liu, S.; Liu, J. Economic Model Predictive Control with Zone Tracking. Mathematics 2018, 6, 65.

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