Stability of model predictive control based on reduced-order models

Title: Stability of model predictive control based on reduced-order models
Creator: Hovland, S.; Løvaas, C.; Gravdahl, J. T.; Goodwin, G. C.
Relation: 47th IEEE Conference on Decision and Control (CDC 2008). Proceedings of the 47th IEEE Conference on Decision and Control (Cancun, Mexico 9-11 December, 2008) p. 4067-4072
Publisher Link: http://dx.doi.org/10.1109/CDC.2008.4738957
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: conference paper
Date: 2008
Description: In this paper, we present a systematic procedure for obtaining closed-loop stable output-feedback model predictive control based on reduced-order models. The design uses linear state estimators, and applies to open-loop stable systems with hard input- and soft state constraints. Robustness against the model reduction error is obtained by choosing the cost function parameters so as to satisfy a linear matrix inequality condition. We also show by means of an example, that performance is maintained even when the model reduction error is relatively large.
Subject: linear state estimators; open-loop stable systems; reduction error; cost function parameters
Identifier: uon:6241
Identifier: http://hdl.handle.net/1959.13/802908
Identifier: ISBN:9781424431243
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