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Abstract and Applied Analysis
Volume 2014 (2014), Article ID 478567, 11 pages
http://dx.doi.org/10.1155/2014/478567
Research Article

Robust Model Predictive Control of Networked Control Systems under Input Constraints and Packet Dropouts

1College of Engineering, Bohai University, Jinzhou, Liaoning 121013, China
2Department of Engineering, Faculty of Engineering and Science, University of Agder, 4898 Grimstad, Norway
3Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, Heilongjiang 150080, China

Received 22 May 2014; Accepted 4 June 2014; Published 16 July 2014

Academic Editor: Josep M. Rossell

Copyright © 2014 Deyin Yao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.