Title
Robust MPC via min-max differential inequalities.
Abstract
This paper is concerned with tube-based model predictive control (MPC) for both linear and nonlinear, input-affine continuous-time dynamic systems that are affected by time-varying disturbances. We derive a min–max differential inequality describing the support function of positive robust forward invariant tubes, which can be used to construct a variety of tube-based model predictive controllers. These constructions are conservative, but computationally tractable and their complexity scales linearly with the length of the prediction horizon. In contrast to many existing tube-based MPC implementations, the proposed framework does not involve discretizing the control policy and, therefore, the conservatism of the predicted tube depends solely on the accuracy of the set parameterization. The proposed approach is then used to construct a robust MPC scheme based on tubes with ellipsoidal cross-sections. This ellipsoidal MPC scheme is based on solving an optimal control problem under linear matrix inequality constraints. We illustrate these results with the numerical case study of a spring–mass–damper system.
Year
DOI
Venue
2017
10.1016/j.automatica.2016.11.022
Automatica
Keywords
Field
DocType
Model predictive control,Robust control,Tube-based control,Robust forward invariant tube,Differential inequalities
Mathematical optimization,Differential inequalities,Optimal control,Control theory,Model predictive control,Control engineering,Invariant (mathematics),Control system,Robust control,Mathematics,Bounded function
Journal
Volume
Issue
ISSN
77
1
0005-1098
Citations 
PageRank 
References 
4
0.48
0
Authors
5
Name
Order
Citations
PageRank
Mario Eduardo Villanueva1336.10
Rien Quirynen24711.88
Moritz Diehl31343134.37
Benoît Chachuat412510.89
Boris Houska521426.14