NDLI: Model predictive control of switched nonlinear systems under average dwell-time

Content Provider	IEEE Xplore Digital Library
Author	Muller, M.A. Allgower, F.
Copyright Year	2011
Description	Author affiliation: Inst. for Syst. Theor. & Autom. Control, Univ. of Stuttgart, Stuttgart, Germany (Muller, M.A.; Allgower, F.)
Abstract	In this paper, we propose a model predictive control (MPC) algorithm for switched nonlinear systems under average dwell-time switching signals. Assuming that a stabilizing MPC controller exists for each of the subsystems, we show that recursive feasibility of the repeatedly solved optimal control problem and asymptotic stability of the closed-loop switched system can be established if a certain average dwell time condition is satisfied. If the switching times are unknown a priori and cannot be detected instantly, further application of the MPC controller calculated for the previously active subsystem might result in instability of the newly activated subsystem. It is shown that if the switches can be detected fast enough, then still ultimate boundedness in an arbitrarily small region around the origin can be ensured, i.e., the proposed MPC algorithm is inherently practically robust with respect to small errors in the detection of the switching times.
Sponsorship	Control Syst. Soc.
Starting Page	5169
Ending Page	5174
File Size	204996
Page Count	6
File Format	PDF
ISBN	9781457700804
ISSN	07431619
e-ISBN	9781457700811
DOI	10.1109/ACC.2011.5990955
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Switches Switched systems Asymptotic stability Trajectory Indexes Predictive models
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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