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Title:A hybrid dynamical approach for allocating materials in a dry bulk terminal
Authors:J. Xin, R.R. Negenborn, T. van Vianen

Journal:IEEE Transactions on Automation Science and Engineering

Abstract:The handling capacity of dry bulk terminals needs to be improved for satisfying the increasing demand of transporting dry bulk materials. When allocating materials in a dry bulk terminal, existing methods consider sufficient storage space, which could result in unnecessary economic losses when a finite storage capacity is considered. To cope with this problem, this paper proposes a new methodology for modeling and control of material handling in a dry bulk stockyard. The dynamical process of storage allocation is modeled as a so-called hybrid system, which combines discrete-event dynamics and continuous time dynamics. This hybrid model is described using a Mixed Logical Dynamical (MLD) representation. Based on the MLD model, a model predictive controller is proposed for maximizing the economic profit in a rolling horizon way. Simulations further demonstrate the potential of the proposed modeling and control methodology involving a real case study.

Reference:J. Xin, R.R. Negenborn, T. van Vianen. A hybrid dynamical approach for allocating materials in a dry bulk terminal. Accepted for publication in IEEE Transactions on Automation Science and Engineering, 2018.
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