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Hierarchical Model Predictive Control of Wiener Models

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Nonlinear Model Predictive Control

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 384))

Abstract

A hierarchical two-layer control structure is designed with robust Model Predictive Control. The system at the upper level is described by a Wiener model, while the systems at the lower level, which represent the fast actuators dynamics, are described by general nonlinear models. The proposed control structure guarantees steady-state zero error regulation for constant reference signals and allows one to largely decouple the control design phase at the two levels while still guaranteeing the overall stability under mild assumptions.

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Picasso, B., Romani, C., Scattolini, R. (2009). Hierarchical Model Predictive Control of Wiener Models. In: Magni, L., Raimondo, D.M., Allgöwer, F. (eds) Nonlinear Model Predictive Control. Lecture Notes in Control and Information Sciences, vol 384. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01094-1_11

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  • DOI: https://doi.org/10.1007/978-3-642-01094-1_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01093-4

  • Online ISBN: 978-3-642-01094-1

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