By Topic

Robust feasibility in model predictive control: necessary and sufficient conditions

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Kerrigan, E.C. ; Dept. of Eng., Cambridge Univ., UK ; Maciejowski, J.M.

A number of results are derived for analysing the robust feasibility of a given model predictive control (MPC) scheme which ignores model mismatch and/or disturbances during control input computation. The main contribution of this paper is the development of computationally tractable tests for determining the robust feasibility of an MPC controller for linear or piecewise affine systems, where the constraints are given by the union of convex polyhedra and the disturbance acts additively on the state. Practical tests are also presented which allow one to give robust feasibility guarantees for all optimal and suboptimal MPC control actions

Published in:

Decision and Control, 2001. Proceedings of the 40th IEEE Conference on  (Volume:1 )

Date of Conference:

2001