Title
Design Of Robust Model Predictive Control With Input Constraints
Abstract
This article addresses the problem of designing a robust output feedback model predictive control (MPC) with input constraints, which ensures a parameter-dependent quadratic stability and guaranteed cost for the case of linear polytopic systems. A new heuristic method is introduced to guarantee input constraints for the MPC. To reject disturbances and maintain the process at the optimal operating conditions or setpoints, the integrator is added to the controller design procedure. Finally, some numerical examples are given to illustrate the effectiveness of the proposed method.
Year
DOI
Venue
2013
10.1080/00207721.2011.627476
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Keywords
Field
DocType
robust model predictive control, polytopic system, parameter-dependent quadratic stability, Lyapunov functional
Heuristic,Mathematical optimization,Controller design,Control theory,Model predictive control,Integrator,Quadratic stability,Lyapunov functional,Mathematics
Journal
Volume
Issue
ISSN
44
5
0020-7721
Citations 
PageRank 
References 
3
0.45
7
Authors
3
Name
Order
Citations
PageRank
Quang Thuan Nguyen1102.93
Vojtech Veselý25813.39
Danica Rosinová3293.69