LMI-Based Model Predictive Control for a Class of Constrained Uncertain Fuzzy Markov Jump Systems
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-03
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
An extended model predictive control algorithm is proposed to address constrained robust model predictive control.
New upper bounds on arbitrarily long time intervals are derived by introducing two external parameters, which can relax the requirements for the increments of the Lyapunov function.
The main merit of this new approach compared to other well-known techniques is the reduced conservativeness.
The proposed method is proved to be effective for a class of uncertain fuzzy Markov jump systems with partially unknown transition probabilities.
A single pendulum example is given to illustrate the advantages and effectiveness of the proposed controller design method.
American Psychological Association (APA)
Yang, Ting& Karimi, Hamid Reza. 2013. LMI-Based Model Predictive Control for a Class of Constrained Uncertain Fuzzy Markov Jump Systems. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1011311
Modern Language Association (MLA)
Yang, Ting& Karimi, Hamid Reza. LMI-Based Model Predictive Control for a Class of Constrained Uncertain Fuzzy Markov Jump Systems. Mathematical Problems in Engineering No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-1011311
American Medical Association (AMA)
Yang, Ting& Karimi, Hamid Reza. LMI-Based Model Predictive Control for a Class of Constrained Uncertain Fuzzy Markov Jump Systems. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1011311
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1011311