Title
Regions of attraction and recursive feasibility in robust MPC
Abstract
For linear systems with multiplicative uncertainty, a formulation of robust model predictive control in a lifted space is given and is proven to give better or equal performance to any tube MPC approach that uses the same parameterisation of the input. Then a tube MPC controller is formulated that ensures recursive feasibility through the use of terminal sets in the degrees of freedom available to the controller. This is shown to give performance comparable to the lifted approach while avoiding an exponential growth in computation.
Year
DOI
Venue
2013
10.1109/MED.2013.6608815
Control & Automation
Keywords
Field
DocType
linear systems,predictive control,robust control,degree of freedom,linear system,model predictive control,multiplicative uncertainty,parameterisation,recursive feasibility,region of attraction,robust mpc,terminal set,mpc,uncertainty,optimization,robustness
Control theory,Mathematical optimization,Multiplicative function,Linear system,Computer science,Control theory,Model predictive control,Control engineering,Robust control,Recursion,Exponential growth,Computation
Conference
ISSN
ISBN
Citations 
2325-369X
978-1-4799-0995-7
5
PageRank 
References 
Authors
0.66
1
3
Name
Order
Citations
PageRank
Fleming, J.1123.22
B. Kouvaritakis240164.31
Mark Cannon351163.73