Stability of soft constrained finite horizon model predictive control

Askari, M. and Moghavvemi, M. and Almurib, Haider A. F. and Haidar, Ahmed M. A. (2017) Stability of soft constrained finite horizon model predictive control. IEEE Transactions on Industry Applications, 53 (6). pp. 5883-5892. ISSN 0093-9994

Abstract

This paper addresses the 5 stability of soft-constrained model predictive control (MPC). It is shown that the infinite horizon soft-constrained MPC problem can be solved as a finite horizon soft-constrained MPC problem if the prediction horizon is greater than an upper bound. The contribution of this paper is a procedure to compute the prediction horizon upper bound, which guarantees the stability. The proposed technique is verified using two simulation examples. The second example (inverted pendulum) is verified through practical implementation.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published online. ArticleFirst version cannot be displayed due to copyright reasons.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 12 Jul 2017 04:05
Last Modified: 23 Apr 2018 03:34
Uncontrolled Keywords: model predictive control, soft constrained, finite horizon, infinite horizon
Fields of Research : 09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation
09 Engineering > 0906 Electrical and Electronic Engineering > 090699 Electrical and Electronic Engineering not elsewhere classified
Identification Number or DOI: 10.1109/TIA.2017.2718978
URI: http://eprints.usq.edu.au/id/eprint/32694

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