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Stabilizing conditions for model predictive control

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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