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Stabilizing conditions for model predictive control
File | Description | Size | Format | |
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![]() | Accepted version | 153.77 kB | Adobe PDF | View/Open |
Title: | Stabilizing conditions for model predictive control |
Authors: | Mayne, DQ Falugi, P |
Item Type: | Journal Article |
Abstract: | Existing stabilizing conditions that use a terminal cost and constraint that, if satisfied, ensure stability and recursive feasibility for deterministic, robust, and stochastic model predictive control are briefly reviewed and analyzed. It is pointed out that these conditions do not cover all situations. Proposals are made to cover a wider range of desired applications. |
Issue Date: | 10-Mar-2019 |
Date of Acceptance: | 25-Oct-2018 |
URI: | http://hdl.handle.net/10044/1/64860 |
DOI: | https://doi.org/10.1002/rnc.4409 |
ISSN: | 1049-8923 |
Publisher: | Wiley |
Start Page: | 894 |
End Page: | 903 |
Journal / Book Title: | International Journal of Robust and Nonlinear Control |
Volume: | 29 |
Issue: | 4 |
Copyright Statement: | © 2018 John Wiley & Sons Ltd. This is the pre-peer reviewed version of the following article: Mayne DQ, Falugi P. Stabilizing conditions for model predictive control. Int J Robust Nonlinear Control. 2018; 1–10., which has been published in final form at https://dx.doi.org/10.1002/rnc.4409 |
Keywords: | Science & Technology Technology Physical Sciences Automation & Control Systems Engineering, Electrical & Electronic Mathematics, Applied Engineering Mathematics descent property model predictive control recursive feasibility stabilizing conditions STATE 0102 Applied Mathematics 0906 Electrical and Electronic Engineering 0913 Mechanical Engineering Industrial Engineering & Automation |
Publication Status: | Published |
Online Publication Date: | 2018-11-18 |
Appears in Collections: | Electrical and Electronic Engineering Faculty of Engineering |