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Verifying stabilizing controllers via closed-loop noisy data: MIMO case

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Date

2007

Authors

Dehghani, Arvin
Anderson, Brian
Lanzon, Alexander
Lecchini-Visintini, Andrea

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

This article introduces novel tests which utilize a limited amount of experimental and possibly noisy data obtained from a stable closed-loop system, i.e. an interconnection of an existing known stabilizing controller and an unknown plant, to infer if the introduction of a prospective controller will stabilize the unknown plant. This extends our earlier results to include the MIMO systems.

Description

Keywords

Keywords: Adaptive control systems; Closed loop control systems; MIMO systems; Verification; Iterative identification and control; Multiple model adaptive control; Control equipment Iterative identification and control; Multiple model adaptive control; Robust control

Citation

URI

http://hdl.handle.net/1885/21070

Collections

ANU Research Publications

Source

Proceedings of the 46th IEEE Conference on Decision and Control 2007

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1109/CDC.2007.4434568

Restricted until

2037-12-31

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01_Dehghani_Verifying_stabilizing_2007.pdf (208.45 KB)

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