Robust Model Predictive Control of Networked Control Systems under Input Constraints and Packet Dropouts
Joint Authors
Yao, Deyin
Lu, Qing
Sun, Yiyong
Karimi, Hamid Reza
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-15
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper deals with the problem of robust model predictive control (RMPC) for a class of linear time-varying systems with constraints and data losses.
We take the polytopic uncertainties into account to describe the uncertain systems.
First, we design a robust state observer by using the linear matrix inequality (LMI) constraints so that the original system state can be tracked.
Second, the MPC gain is calculated by minimizing the upper bound of infinite horizon robust performance objective in terms of linear matrix inequality conditions.
The method of robust MPC and state observer design is illustrated by a numerical example.
American Psychological Association (APA)
Yao, Deyin& Karimi, Hamid Reza& Sun, Yiyong& Lu, Qing. 2014. Robust Model Predictive Control of Networked Control Systems under Input Constraints and Packet Dropouts. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1033785
Modern Language Association (MLA)
Yao, Deyin…[et al.]. Robust Model Predictive Control of Networked Control Systems under Input Constraints and Packet Dropouts. Abstract and Applied Analysis No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1033785
American Medical Association (AMA)
Yao, Deyin& Karimi, Hamid Reza& Sun, Yiyong& Lu, Qing. Robust Model Predictive Control of Networked Control Systems under Input Constraints and Packet Dropouts. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1033785
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033785