Robust model predictive control schemes for tracking setpoints
type: Item
instance of: scholarly article
title: Robust model predictive control schemes for tracking setpoints
zbMATH Open document ID: 1229.93055
DOI: 10.1155/2010/649461
author: Vu Trieu Minh
author: F. M. Hashim
published in: Journal of Control Science and Engineering
publication date: 2010-07-22T00:00:00Z
review text: Summary: This paper briefly reviews the development of nontracking robust model predictive control (RMPC) schemes for uncertain systems using linear matrix inequalities (LMIs) subject to input saturated and softened state constraints. Then we develop two new tracking setpoint RMPC schemes with common Lyapunov function and with zero terminal equality subject to input saturated and softened state constraints. The novel tracking setpoint RMPC schemes are able to stabilize uncertain systems once the output setpoints lead to the violation of the state constraints. The state violation can be regulated by changing the value of the weighting factor. A brief comparative simulation study of the two tracking setpoint RMPC schemes is done via simple examples to demonstrate the ability of the softened state constraint schemes. Finally, some features of future research from this study are discussed.
Mathematics Subject Classification ID: 93B40
zbMATH DE Number: 5759223
Wikidata QID: Q58652559
describes a project that uses: Polynomial Toolbox
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2010/649461
OpenAlex ID: W2111351482
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description: scientific article; zbMATH DE number 5759223