Title
MPC for Tracking Periodic References.
Abstract
In this technical note, a new model predictive controller for tracking arbitrary periodic references is presented. The proposed controller is based on a single layer that unites dynamic trajectory planning and control. A design procedure to guarantee that the closed loop system converges asymptotically to the optimal admissible periodic trajectory while guaranteeing constraint satisfaction is provided. In addition, the constraints of the optimization problem solved by the controller do not depend on the reference, allowing for sudden changes in the reference without loosing feasibility. The properties of the proposed controller are demonstrated with a simulation example of a ball and plate system.
Year
DOI
Venue
2016
10.1109/TAC.2015.2461811
IEEE Trans. Automat. Contr.
Keywords
Field
DocType
Trajectory,Optimization,Closed loop systems,Asymptotic stability,Target tracking,Stability analysis
Constraint satisfaction,Mathematical optimization,Control theory,Technical note,Control theory,Model predictive control,Exponential stability,Periodic graph (geometry),Optimization problem,Trajectory,Mathematics
Journal
Volume
Issue
ISSN
61
4
0018-9286
Citations 
PageRank 
References 
5
0.54
6
Authors
6
Name
Order
Citations
PageRank
D. Limon146737.23
Mario Pereira251.21
David Muñoz de la Peña329324.98
Alamo Teodoro430736.82
Colin Neil Jones566263.90
Melanie Nicole Zeilinger629830.91