Stability of Soft Constrained Finite Horizon Model Predictive Control

Askari, Masoud and Moghavvemi, M. and Almurib, Haider Abbas F. and Ahmed Mohamed, Ahmed Haidar (2017) Stability of Soft Constrained Finite Horizon Model Predictive Control. IEEE Transactions on Industry Applications (99). ISSN 0093-9994

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Official URL: http://ieeexplore.ieee.org/document/7959196/

Abstract

This article addresses the stability of soft-constrained model predictive control. It is shown that the infinite horizon soft-constrained model predictive control problem can be solved as a finite horizon soft-constrained model predictive control 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 example. The second example (inverted pendulum) is verified through practical implementation. IEEE

Item Type: Article
Uncontrolled Keywords: Model predictive control, Soft constrained, finite horizon, infinite horizon, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Faculties, Institutes, Centres > Faculty of Engineering
Depositing User: Ibrahim
Date Deposited: 18 Oct 2017 06:10
Last Modified: 31 Jul 2023 07:37
URI: http://ir.unimas.my/id/eprint/18142

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