Reference
B. De Schutter, T. van den Boom, and A. Hegyi, "Model predictive control
approach for recovery from delays in railway systems,"
Transportation Research Record, no. 1793, pp. 15-20, 2002.
Abstract
We extend the model predictive control (MPC) framework, which is a very
popular controller design method in the process industry, to transfer
coordination in railway systems. In fact, the proposed approach can also be
used for other systems with both hard and soft synchronization constraints,
such as logistic operations. The main aim of the control is to recover from
delays in an optimal way by breaking connections (at a cost). In general, the
MPC control design problem for railway systems leads to a nonlinear non-convex
optimization problem. We show that the optimal MPC strategy can also be
computed using an extended linear complementarity problem. Furthermore, we
present an extension with an extra degree of freedom to recover from delays by
letting some trains run faster than usual (again at a cost). The resulting
extended MPC railway problem can also be solved using an extended linear
complementarity problem.
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BibTeX
@article{DeSvan:02-011,
author = {De Schutter, Bart and van den Boom, Ton and Hegyi, Andreas},
title = {Model Predictive Control Approach for Recovery from Delays in
Railway Systems},
journal = {Transportation Research Record},
number = {1793},
pages = {15--20},
year = {2002}
}