Stabilizing model predictive control of hybrid systems

Research output: Contribution to journalArticleAcademicpeer-review

204 Citations (Scopus)
10 Downloads (Pure)

Abstract

In this note, we investigate the stability of hybrid systems in closed-loop with model predictive controllers (MPC). A priori sufficient conditions for Lyapunov asymptotic stability and exponential stability are derived in the terminal cost and constraint set fashion, while allowing for discontinuous system dynamics and discontinuous MPC value functions. For constrained piecewise affine (PWA) systems as prediction models, we present novel techniques for computing a terminal cost and a terminal constraint set that satisfy the developed stabilization conditions. For quadratic MPC costs, these conditions translate into a linear matrix inequality while, for MPC costs based on 1, -norms, they are obtained as norm inequalities. New ways for calculating low complexity piecewise polyhedral positively invariant sets for PWA systems are also presented. An example illustrates the developed theory.
Original languageEnglish
Pages (from-to)1813-1818
JournalIEEE Transactions on Automatic Control
Volume51
Issue number11
DOIs
Publication statusPublished - 2006

Fingerprint

Dive into the research topics of 'Stabilizing model predictive control of hybrid systems'. Together they form a unique fingerprint.

Cite this