Optimization based input preview filtering for dynamical systems
A Lang, M Cantoni
2019 IEEE 58th Conference on Decision and Control (CDC) | IEEE | Published : 2020
This paper is about filtering uncertain forecast information to update a preview model of inputs to a linear dynamical system, as may be useful in predictive control schemes. A moving horizon optimization approach is proposed, with a view to smoothing abrupt changes in order based forecast information and to manage error, given observations of the dynamics. Numerical examples are used to illustrate a potential application of this approach within the context of processing demand profile requests in a water distribution system.
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Awarded by Australian Research Council
Funded in part by the Australian Research Council (LP160100666).